https://wiki.eecs.umich.edu/voimuri/index.php?title=Special:Contributions&feed=atom&deletedOnly=&limit=100&target=Cochran%40asu.edu&topOnly=&year=&month=Voimuri Wiki - User contributions [en]2022-09-26T01:13:45ZFrom Voimuri WikiMediaWiki 1.17.0https://wiki.eecs.umich.edu/voimuri/index.php/File:8Cochran_Year4v2.pdfFile:8Cochran Year4v2.pdf2015-11-13T11:43:26Z<p>Cochran@asu.edu: </p>
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<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2015-11-13T11:42:56Z<p>Cochran@asu.edu: /* Slides for fourth-year review meeting */</p>
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<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Fourth-year review meeting ===<br />
====Time and Location====<br />
Friday, Nov 13th, 2015<br/><br />
8:30 am - 4:30 pm<br/> <br />
Room 32-G449 (Kiva) [http://web.eecs.umich.edu/~hero/Data/ARO_MURI11/review4map.pdf map for locating room]<br/><br />
Ray and Maria Stata Center<br/><br />
32 Vassar Street, Bldg. 32<br/><br />
Massachusetts Institute of Technology<br/><br />
Cambridge, Mass 02139 <br/><br />
Directions to Stata Center: [http://maps.google.com/?q=32+Vassar+Street%2C+Bldg.+32%2C+Cambridge%2C+MA%2C+02139%2C+us google maps] <br/><br />
<br />
====Accomodations====<br />
Cambridge Residence Inn - $292/night (the negotiated MIT rate)<br/><br />
120 Broadway, Cambridge, Massachusetts 02142<br/><br />
Hotel website: http://www.marriott.com/hotels/travel/boscm-residence-inn-boston-cambridge/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee<br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:20 Thrust area I: Information-driven Learning and Representation <br />
PI Summaries: Michael Jordan, Stefano Soatto, Al Hero<br />
10:20 - 10:30 Break <br />
10:30 - 12:00 Thrust area II: Information Fusion<br />
PI summaries, Raj Rao Nadakuditi, Emre Ertin, Jon How <br />
12:00 - 2:00 Lunch and poster session <br />
2:00 - 3:30 Thrust area III: Information Exploitation<br />
PI summaries: Doug Cochran, Angela Yu, John Fisher <br />
3:30 - 3:45 Wrap-up, Al Hero<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for fourth-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year4.pdf|1Hero_Overview_Year4.pdf]]<br />
* Michael Jordan: [[Media:3Jordan_Year4.pdf|3Jordan_Year4.pdf]]<br />
* Stefano Soatto):[[Media:4Soatto_Year4.pdf|4Soatto_Year4.pdf]]<br />
* Alfred Hero: [[Media:2Hero_MURI_Year4.pdf|2Hero_Year4.pdf]]<br />
* Raj Nadakuditi: [[Media:5Nadakuditi_Year4.pdf|5Nadakuditi_Year4.pdf]]<br />
* Emre Ertin [[Media:6Ertin_Year4.pdf|6Ertin_Year4.pdf]]<br />
* Jon How: [[Media:10How_Year4.pdf|10How_Year4.pdf]]<br />
* Doug Cochran: [[Media:8Cochran_Year4v2.pdf|8Cochran_Year4.pdf]]<br />
* Angela Yu: [[Media:9Yu_Year4.pdf|9Yu_Year4.pdf]]<br />
* John Fisher: [[Media:7Fisher_Year4.pdf|6Fisher_Year4.pdf]]<br />
* Wrap-up (Hero): [[Media:11Hero_wrapup_Year4.pdf|11Hero_Wrapup_Year4.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* Nithin Sugavanam and Emre Ertin, “Waveform Design for Compressive MIMO Radar” [[Media:MIMOPoster.pdf|MIMOPoster.pdf]] <br />
* Diyan Teng and Emre Ertin, “Learning for Sequential Information Fusion” [[Media:SequentialFusionPoster.pdf|SequentialFusionPoster.pdf]] <br />
* Gene Whipps, Emre Ertin, Randy Moses, “Distributed change detection of a radioactive source” [[Media:SourceDetectionPoster.pdf|SourceDetectionPoster.pdf]] <br />
* Gene Whipps, Emre Ertin, Randy Moses, Decentralized iterative algorithm for ML estimation of a mixture of factor analyzers [[Media:MoFAPoster.pdf|MoFAPoster.pdf]] <br />
* Hye Won Chung, Brian Sadler, Alfred Hero, “When does entropy-driven search work?” [[Media:ChungSadlerHero_poster.pdf|ChungSadlerHero_poster.pdf]] <br />
* Tianpei Xie, Nasser Nasrabadi and Alfred Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination" <br />
* Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, "The accuracy of singular vectors of thresholded low-rank plus noise plus outlier matrices"<br />
<br />
=== ARL Visit July 8 2015 ===<br />
PDF slide presentation (Hero): [[Media:Hero_ARL_visit_070815.pdf|Hero_ARL_visit_070815.pdf]]<br />
<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): Slides will be posted pending review<br />
* Importance-weighted adaptive search (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection (Fisher) [http://people.csail.mit.edu/fisher/outgoing/VOIMURI/fisherMURI3Year.pdf 5bFisher_Information_Planning_Year3.pdf]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]] [[Media:WhippsErtinMoses_poster.pdf|WhippsErtinMoses_poster.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]] [[Media:TengErtin_poster.pdf|TengErtin_poster.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise” [[Media:SugavanamErtin_poster_overview.pdf|SugavanamErtin_poster_overview.pdf]] [[Media:SugavanamErtin_poster.pdf|SugavanamErtin_poster.pdf]]<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]] [[Media:GreenewaldHero_poster.pdf|GreenewaldHero_poster.pdf]]<br />
*H.W. Chung, B. Sadler, A. Hero, “Information Surrogates for State Estimation” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]] [[Media:ChungHero_poster.pdf|ChungHero_poster.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]] [[Media:MengHero_poster.pdf|MengHero_poster.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing [[Media:ZhangJordan_poster1.pdf|ZhangJordan_poster1.pdf]]<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms [[Media:ZhangJordan_poster2.pdf|ZhangJordan_poster2.pdf]]<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization [[Media:NishiharaJordan_poster.pdf|NishiharaJordan_poster.pdf]]<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations [[Media:DuchiJordanWainwrightWibisono_poster.pdf|DuchiJordanWainwrightWibisono_poster.pdf]]<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage” [[Media:nadakuditi_poster.pdf|nadakuditi_poster.pdf]]<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]] [[Media:CriderCochran_poster.pdf|CriderCochran_full_poster.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task” [[Media:ZhangYu_poster.pdf|ZhangYu_poster.pdf]] <br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM” [[Media:MuHow_poster.pdf|MuHow_poster.pdf]] <br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“ [[Media:HernandezSoatto_poster.pdf|HernandezSoatto_poster.pdf]]<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping" [[Media:TsotsosSoatto_poster.pdf|TsotsosSoatto_poster.pdf]]<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:8Cochran_Year4.pdfFile:8Cochran Year4.pdf2015-11-13T02:23:34Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-12T17:23:53Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* Visar Berisha, Alan Wisler, Alfred O. Hero, and Andreas Spanias, "Empirically Estimable Classification Bounds Based on a New Divergence Measure," January 2015. [http://arxiv.org/pdf/1412.6534.pdf .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, vol. 63, no. 18, pp. 4756-4770, September 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187] [http://cochran.faculty.asu.edu/papers/Tejas_TransSP.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677] [http://cochran.faculty.asu.edu/papers/Tejas_ICASSP.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-12T17:23:03Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* Visar Berisha, Alan Wisler, Alfred O. Hero, and Andreas Spanias, "Empirically Estimable Classification Bounds Based on a New Divergence Measure," January 2015. [http://arxiv.org/pdf/14126534.pdf .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, vol. 63, no. 18, pp. 4756-4770, September 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187] [http://cochran.faculty.asu.edu/papers/Tejas_TransSP.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677] [http://cochran.faculty.asu.edu/papers/Tejas_ICASSP.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-12T17:18:29Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* Visar Berisha, Alan Wisler, Alfred O. Hero, and Andreas Spanias, "Empirically Estimable Classification Bounds Based on a New Divergence Measure," January 2015. [http://arxiv.org/pdf/14126534.pdf .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, vol. 63, no. 18, pp. 4756-4770, September 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187] [http://cochran.faculty.asu.edu/papers/Tejas_TransSP.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677] [http://cochran.faculty.asu.edu/papers/Tejas_ICASSP.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
<br />
<br />
<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-12T00:09:00Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, vol. 63, no. 18, pp. 4756-4770, September 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187] [http://cochran.faculty.asu.edu/papers/Tejas_TransSP.pdf .pdf]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677] [http://cochran.faculty.asu.edu/papers/Tejas_ICASSP.pdf .pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:47:41Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677] [http://cochran.faculty.asu.edu/papers/Tejas_ICASSP.pdf .pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:40:54Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550] [http://cochran.faculty.asu.edu/papers/Nayar_Asilomar.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:37:17Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014. [http://cochran.faculty.asu.edu/papers/2014_Crider_Surrogate_Asilomar.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:33:58Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1507.01269.pdf .pdf]<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:30:38Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472][http://cochran.faculty.asu.edu/papers/Gogineni_ICASSP.pdf .pdf]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," Fusion 2015. [http://arxiv.org/pdf/1409.7808.pdf]<br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015.<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-09-11T23:24:03Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* S. Ahmad and A. J. Yu, "A rational model for individual differences in preference choice," Proceedings of the Thirty-Seventh Annual Meeting of the Cognitive Science Society. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci15_sheeraz.pdf]<br />
<br />
* H. Nayar and R. Nadakuditi, "OptFuse:Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices," Proceedings of the 2015 Fusion Conference, To Appear.<br />
<br />
* B. Farrell and R. Nadakuditi, " Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices", Random Matrices: Theory and Applications, vol. 4, no. 1, 1550001, 2015. [http://arxiv.org/pdf/1311.6783v1.pdf]<br />
<br />
* S. Olver, R. Nadakuditi and T. Trogdon, "Sampling unitary ensembles," Random Matrices: Theory and Applications, vol. 4, no. 1, 1550002, 2015. [http://www.worldscientific.com/doi/pdf/10.1142/S2010326315500021]<br />
<br />
* R. T. Suryaprakash and R. Nadakuditi, "Consistency and MSE Performance of MUSIC-based DOA of a Single Source in White Noise with Randomly Missing Data," IEEE Transactions on Signal Processing, To Appear in 2015. [http://dx.doi.org/10.1109/TSP.2015.2440187]<br />
<br />
* R. T. Suryaprakash, B. Moore and R. Nadakuditi,"Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors," Proceedings of IEEE ICASSP, pp. 3776 - 3780, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178677]<br />
<br />
* H. Nayar and R. Nadakuditi, "Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices," Proceedings of the IEEE Asilomar Conference on Signals & Systems, pp. 755-759, 2015. [http://dx.doi.org/10.1109/ACSSC.2014.7094550]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection with noisy reference signal," Proceedings of IEEE ICASSP, pp. 2754-2758, 2015. [http://dx.doi.org/10.1109/ICASSP.2015.7178472]<br />
<br />
* S. Gogineni, P. Setlur, R. Nadakuditi and M. Rangaswamy, "Random matrix theory inspired passive bistatic radar detection of low-rank signals," Proceedings of IEEE Radar Conference, pp. 1656-1659, 2015. [http://dx.doi.org/10.1109/RADAR.2015.7131264] [http://cochran.faculty.asu.edu/papers/Gogineni_Radar.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, "Distributed sensing for Quickest Change Detection of Point Radiation Sources,’’ International Conference on Information Fusion (FUSION), July 2015. [http://ece.osu.edu/~ertine/whipps2015b.pdf .pdf]<br />
<br />
*G. T. Whipps, E. Ertin and R. L. Moses, “Distributed Detection of Binary Decisions with Collisions in a Large, Random Network’’ IEEE Transactions on Signal Processing, Vol 63, No 1, 2015. [http://ece.osu.edu/~ertine/whipps2015a.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Recovery guarantees for multifrequency chirp waveforms in compressed radar sensing,’’ submitted Jul 2015 [http://ece.osu.edu/~ertine/Ertin2015c.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted May 2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf .pdf]<br />
<br />
* S. Baskar and E. Ertin, "A software defined radar platform for waveform adaptive MIMO radar research’’ IEEE Radar Conference (RadarCon), pp.1590--1594, May 2015. [http://ece.osu.edu/~ertine/Ertin2015e.pdf .pdf]<br />
<br />
* T. Abdelrahman and E. Ertin, "Mixture of factor analyzers models of appearance manifolds for resolved SAR targets,’’ in Proceedings of SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, May 2015. [http://ece.osu.edu/~ertine/Ertin2015d.pdf .pdf]<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," to appear at Fusion 2015. <br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015.<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-08-02T21:41:14Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Estimation of subspace occupancy," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers'', pp. 1599—1603, November 2014, [http://cochran.faculty.asu.edu/papers/2014_Beaudet_Subspace_Asilomar.pdf .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," to appear at Fusion 2015. <br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015.<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/PublicationsPublications2015-07-30T03:59:15Z<p>Cochran@asu.edu: /* Publications reporting on research supported by this MURI */</p>
<hr />
<div>'''Publications since 2012''' <br />
<br />
<br />
== Publications reporting on research supported by this MURI==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
'''''2015'''''<br />
<br />
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1501.03731v1 .pdf]<br />
<br />
* V. Berisha and A. O. Hero, "Empirical non-parametric estimation of the Fisher Information," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 988-992, 2015. [http://arxiv.org/pdf/1408.1182v2 .pdf]<br />
<br />
* P-Y Chen and A. O. Hero, "Phase transitions in spectral community detection of large noisy networks," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1504.02412v2 .pdf]<br />
<br />
* J. Dong, N. Karianakis, D. Davis, J. Hernandez, J. Balzer and S. Soatto, "Multi-view feature engineering and learning", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongKDHBS15.pdf .pdf]<br />
<br />
* J. Dong and S. Soatto, "Domain-size pooling in local descriptors: DSP-SIFT", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/dongS15.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and A. Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations," "IEEE Transactions on Information Theory", to appear. [http://arxiv.org/pdf/1312.2139.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Chiuso and S. Soatto, "Texture representations for image and video texture synthesis", ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition'', 2015. [http://vision.ucla.edu/papers/georgiadisCS15.pdf .pdf]<br />
<br />
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf] <br />
<br />
* A.O. Hero, "Sparsity regularized image reconstruction," in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 34, edited by Dale E. Chimenti and L. J. Bond, published by American Institute of Physics, Melville, NY, 2015. [http://web.eecs.umich.edu/~hero/Preprints/hero_QNDE14_article_aip.pdf .pdf]<br />
<br />
* A.O. Hero and B. Rajaratnam, "Foundational principles for large scale inference: Illustrations through correlation mining," IEEE Proceedings. In press 2015. [http://arxiv.org/pdf/1505.02475v1.pdf .pdf]. Also available as Stanford University Dept of Statistics Technical Report 2015-13 May 2015 [https://statistics.stanford.edu/research/foundational-principles-large-scale-inference-illustrations-through-correlation-mining .html].<br />
<br />
* S. D. Howard, D. Cochran, and W. Moran, "Gauge-invariant registration in networks," ''Proceedings of the International Conference on Information Fusion'', July 2015. [http://cochran.faculty.asu.edu/papers/2015_Howard_Gauge_Fusion.pdf .pdf]<br />
<br />
* K.J. Hsiao, J. Calder and A.O. Hero, "Pareto-depth for Multiple-query Image Retrieval," IEEE Trans on Image Processing, vol. 24, no. 2, pp. 583-594, 2015. [http://arxiv.org/pdf/1402.5176v1 .pdf] <br />
<br />
* Goran Marjanovic, Magnus Ulfarsson, Alfred O. Hero, "MIST: L0 sparse linear regression with momentum," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015. [http://arxiv.org/pdf/1409.7193v2 .pdf]<br />
<br />
* B. Mu, G. Newstadt, D. Wei, A.O. Hero, J.P. How, "Adaptive Search for Multi-class Targets with Heterogeneous Importance," to appear at Fusion 2015. <br />
<br />
* G. Newstadt, D. Wei, A.O. Hero, "Adaptive Search and Tracking of Sparse Dynamic Targets under Resource Constraints," to appear in IEEE Trans. Signal Processing 2015. [http://arxiv.org/pdf/1404.2201v1 .pdf]<br />
<br />
* R. Nishihara, L. Lessard, B. Recht, A. Packard and M. I. Jordan, "A general analysis of the convergence of ADMM," International Conference on Machine Learning, to appear. [http://arxiv.org/pdf/1502.02009.pdf .pdf]<br />
<br />
* S. Soatto and A. Chiuso, "Visual Scene Representations: sufficiency, minimality, invariance and deep approximation", International Conference on Learning Representations, 2015. [http://arxiv.org/abs/1411.7676 .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries," IEEE Trans on Signal Processing. In press 2015. [http://arxiv.org/pdf/1312.7847v3 .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Performance Guarantees for Adaptive Estimation of Sparse Signals," IEEE Trans. on Information Theory, vol. 61, no. 4, pp. 2043-2059, 2015. [http://arxiv.org/pdf/1311.6360v2 .pdf]<br />
<br />
* T. Xie, N. Nasrabadi, A.O. Hero, "Multi-sensor classification via consensus-based multi-view maximum entropy discrimination," IEEE Intl Conf on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, April 2015.<br />
<br />
* Y. Zhang, M. J. Wainwright, and M. I. Jordan, "Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds," ''International Conference on Machine Learning'', to appear. [http://arxiv.org/pdf/1502.01403.pdf .pdf]<br />
<br />
* Y. Zhang, X. Chen, D. Zhou, and M. I. Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing," ''Advances in Neural Information Processing Systems'', 2015. [http://arxiv.org/pdf/1406.3824.pdf .pdf]<br />
<br />
<br />
'''''2014'''''<br />
<br />
* S. Ahmad, and A. J. Yu, "A socially aware Bayesian model for competitive foraging", ''Proceedings of the Cognitive Science Society Conference,'' 2014. [http://www.cogsci.ucsd.edu/~ajyu/Papers/cogsci14_compforage.pdf" .pdf]<br />
<br />
* J. Ash, E. Ertin, L. C. Potter, and E. Zelnio, "Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering" ''IEEE Signal Processing Magazine'', vol. 31, no. 4, pp 16--26, 2014. [http://www.ece.osu.edu/~ertine/AshErtin2014.pdf .pdf]<br />
<br />
* J. Balzer, D. Acevedo-Feliz, S. Soatto, S. Hofer, M. Hadwiger and J. Beyerer, "Cavlectometry: Towards holistic reconstruction of large mirror objects", ''The International Conference on 3D Vision'', 2014. [http://vision.ucla.edu/papers/balzerASHHB14.pdf .pdf]<br />
<br />
* R. Cabezas, O. Freifeld, G. Rosman, J. W. Fisher III, "Aerial reconstructions via probabilistic data fusion," ''IEEE Computer Vision and Pattern Recognition Conference on Computer Vision,'' June 2014. [http://people.csail.mit.edu/rcabezas/pubs/cabezas14_aerial.pdf .pdf]<br />
<br />
* L. Crider and D. Cochran, "Effects of network topology on the conditional distributions of surrogated generalized coherence estimates," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* J. Duchi, M. I. Jordan, and B. McMahan, "Estimation, optimization, and parallelism when data is sparse," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-mcmahan-nips14.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Local privacy and minimax bounds: Sharp rates for probability estimation," (2014). In L. Bottou, C. Burges, Z. Ghahramani and M. Welling (Eds.), Advances in Neural Information Processing (NIPS) 26, Red Hook, NY: Curran Associates. [http://www.cs.berkeley.edu/~jordan/papers/duchi-jordan-wainwright-nips14.pdf .pdf]<br />
<br />
* J. C. Duchi, M. I. Jordan, M. J. Wainwright, and Y. Zhang, "Information-theoretic lower bounds for distributed statistical estimation with communication constraints," [http://arxiv.org/pdf/1405.0782.pdf .pdf]<br />
<br />
* Z. Dzunic and J. Fisher III, "Bayesian switching interaction analysis under uncertainty," ''Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics,'' pp. 220-228, 2014. [http://people.csail.mit.edu/fisher/publications/papers/dzunic14aistats.pdf .pdf]<br />
<br />
* E. Ertin, "Three dimensional imaging of vehicles from sparse apertures in urban environment," in ''Compressive Sensing for Urban Radars,'' M. Amin, ed., CRC Press, 2014 [http://www.ece.osu.edu/~ertine/Ertin2014b.pdf .pdf]<br />
<br />
* E. Ertin, "Information geometry of radar targets," ''Information Theory and Applications Workshop,'' San Diego, 2014.<br />
<br />
* B. W. Hong and S. Soatto, "Shape Matching using Multiscale Integral Invariants," ''IEEE Transactions on Pattern Recognition and Machine Intelligence,'' July 2014. [http://vision.ucla.edu/papers/hongS14.pdf .pdf]<br />
<br />
* S. D. Howard, W. Moran, and D. Cochran, "Intrinsic Fisher information on manifolds," ''Proceedings of the Asilomar Conference on Signals, Systems, and Computers,'' November 2014 (to appear).<br />
<br />
* S. D. Howard, D. Cochran, W. Moran, and F. Cohen, "Estimation and registration on graphs," ''IEEE Transactions on Signal Processing'' (in review). [http://cochran.faculty.asu.edu/papers/2013_Howard_Registration_Preprint.pdf .pdf]<br />
<br />
* V. Karasev, A. Ravichandran, and S. Soatto, "Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation," ''Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,'' 2014. [http://vision.ucla.edu/papers/karasevRS14.pdf pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, and T. Schoen, "Particle Gibbs with ancestral sampling," ''Journal of Machine Learning Research,'' vol. 15, pp. 2145 - 2184, 2014. [http://jmlr.org/papers/volume15/lindsten14a/lindsten14a.pdf .pdf]<br />
<br />
* L. Mackey, M. I. Jordan, R. Chen, B. Farrell, and J. A. Tropp, "Matrix concentration inequalities via the method of exchangeable pairs," ''Annals of Probability,'' vol. 42, pp. 906 - 945, 2014. [http://arxiv.org/pdf/1201.6002 .pdf]<br />
<br />
* G. Marjanovic and A. O. Hero, "On lq Estimation of Sparse Inverse Covariance," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing'' (ICASSP), May 2014. [http://web.eecs.umich.edu/~hero/Preprints/Marjanovic_ICASSP14_final.pdf .pdf]<br />
<br />
* Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models," ''Proceedings of the International Conference on Machine Learning (ICML),'' Beijing, July 2014. [http://arxiv.org/pdf/1406.2721.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A.O. Hero, "Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods," ''IEEE Transactions on Signal Processing,'' vol 62, no 20, pp. 5425-5438. 2014. [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* B. Moore, R. R. Nadakuditi, and J. Fessler, "Improved robust PCA using low-rank denoising with optimal singular value shrinkage," ''Proceedings of the IEEE Statistical Signal Processing Workshop, July 2014. [https://www.dropbox.com/s/atxfwikz491jrkw/ssp14_v3.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed sensing using adaptive censoring-based inference," ''Automatica,'' vol. 50, no. 6, pp. 1590 - 1602, 2014. [http://www.sciencedirect.com/science/article/pii/S0005109814001435 .pdf]<br />
<br />
* B. Mu and J. P. How, "Learning Sparse Gaussian Graphical Model with l0-regularization," ''Advances in Neural Information Processing Systems 27'' (in review). [http://hdl.handle.net/1721.1/88969 .html]<br />
<br />
* R. R. Nadakuditi, "OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage," ''IEEE Transactions on Information Theory,'' vol. 60, no. 5, pp. 3002 - 3018, May 2014. [http://web.eecs.umich.edu/~rajnrao/optshrink13.pdf .pdf]<br />
<br />
* G. Newstadt, D. Wei and A. O. Hero, "Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets," ''IEEE Transactions on Signal Processing'' (in review). [http://arxiv.org/pdf/1404.2201.pdf .pdf]<br />
<br />
* G. E. Newstadt, B. Mu, D. Wei, A. O. Hero, and J. P. How, "Mission-weighted adaptive search for multi-class targets," ''IEEE Transaction on Signal Processing,'' (in review). <br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14infplntech.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation in Markov random trees" (in review). [http://people.csail.mit.edu/fisher/publications/papers/geopapa14incrbptech.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for sequential detection," (in review) [http://www.ece.osu.edu/~ertine/Teng2014a.pdf .pdf].<br />
<br />
* T. Tsiligkaridis, B. M. Sadler, and A. O. Hero, "Collaborative 20 questions for localization," ''IEEE Transactions on Information Theory.'' vol. 60, no. 4, pp 2233-2252, April 2014. [http://arxiv.org/pdf/1306.1922.pdf .pdf] <br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "A collaborative 20 questions model for target search with human-machine interaction," ''IEEE Transactions on Signal Processing'' (in review) [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," ''IEEE Journal of Selected Topics in Signal Processing'' (in press). [http://arxiv.org/pdf/1210.1473v2.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "A Consensus-based Decentralized EM for a Mixture of Factor Analyzers," ''IEEE International Workshop on Machine Learning for Signal Processing'' (to appear) September 2014. [http://www2.ece.ohio-state.edu/~ertine/whipps2014b.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin and R. L. Moses, "Distributed detection of binary decisions with collisions in a large, random network," ''IEEE Transactions on Signal Processing'' (in review) [http://www.ece.osu.edu/~ertine/whipps2014a.pdf .pdf].<br />
<br />
* T. Xie, N. Nasrabadi and A.O. Hero, "Learning to classify with possible sensor failures," ''Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),'' May 2014. [http://web.eecs.umich.edu/~hero/Preprints/XieHero_ICASSP14_final.pdf .pdf]<br />
<br />
* X. Zhang, R. R. Nadakuditi, and M. Newman, "Spectra of random graphs with community structure and arbitrary degrees," ''Physical Review E,'' vol. 89, no. 4, 042816, 2014. [http://arxiv.org/pdf/1310.0046.pdf .pdf]<br />
<br />
* Y. Zhang, M. Wainwright, and M. I. Jordan, "Lower bounds on the performance of polynomial-time algorithms for sparse linear regression," ''Proceedings of the Annual Conference on Computational Learning Theory,'' 2014. [http://arxiv.org/pdf/1402.1918 .pdf]<br />
<br />
<br />
<br />
<br />
'''''2013'''''<br />
<br />
* S. Ahmad, H. Huang and A. J. Yu, "Context-sensitivity in human active sensing," ''Advances in Neural Information Processing Systems,'' 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_vs.pdf .pdf]<br />
<br />
* K. Beaudet and D. Cochran, "Multiple-channel detection in active sensing," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://cochran.faculty.asu.edu/papers/2013_Beaudet_Invariance_ICASSP.pdf .pdf]<br />
<br />
* K. Beaudet, L. Crider, and D. Cochran, "Detection in networked radar," ''Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX'', May 2013. [http://cochran.faculty.asu.edu/papers/SPIE13.pdf .pdf]<br />
<br />
* V. Chandrasekaran and M. I. Jordan, "Computational and statistical tradeoffs via convex relaxation," ''Proceedings of the National Academy of Sciences'', 2013. [http://arxiv.org/pdf/1211.1073v2 .pdf]<br />
<br />
* D. Cochran and A. O. Hero, "Information-driven sensor planning: Navigating a statistical manifold," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 1049-1052, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Cochran_Hellinger_GlobalSIP.pdf .pdf]<br />
<br />
* J. Duchi, L. Mackey, and M. I. Jordan, "The asymptotics of ranking algorithms," ''Annals of Statistics'' 41(5):2292-2323, 2013. [http://arxiv.org/pdf/1204.1688.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, and M. Wainwright, "Privacy aware learning," ''Proceedings of NIPS,'' December 2013. [http://arxiv.org/pdf/1210.2085.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan and M. Wainwright, "Local privacy and statistical minimax rates", ''54th Annual Symposium on Foundations of Computer Science (FOCS)'', October 2013. [http://arxiv.org/pdf/1302.3203v1.pdf .pdf]<br />
<br />
* J. Duchi, M. I. Jordan, M. Wainwright and A. Wibisono, "Finite sample convergence rates of zero-order stochastic optimization methods," (2013). In P. Bartlett, F. Pereira, L. Bottou, and C. Burges (Eds.), Advances in Neural Information Processing (NIPS) 25, Red Hook, NY: Curran Associates.<br />
<br />
* E. Ertin, "Manifold learning methods for wide-angle SAR ATR," ''Proceedings of the 2013 International Conference on Radar,'' pp. 500-504, September 2013. [http://www.ece.osu.edu/~ertine/Ertin2013.pdf .pdf]<br />
<br />
* B. Farrell and R. Nadakuditi,"Local spectrum of truncations of Kronecker products of Haar distributed unitary matrices" (preprint) [https://www.dropbox.com/s/p0xcostkd9cahdv/FNJune27.pdf .pdf]<br />
<br />
* J. Gao, E. Ertin, S. Kumar, and M. al'Absi, "Contactless sensing of physiological signals using wideband RF probes," ''Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers,'' pp. 86-90, November 2013 [https://www.ece.osu.edu/~ertine/GaoErtin2013.pdf .pdf]<br />
<br />
* K. Greenwald, T. Tsiligkaridis and A. O. Hero III, "Kronecker Sum Decompositions of Space-Time Data," ''Proceedings of IEEE Computational Advances in Multi-Sensor Adaptive Processing'' (CAMSAP), pp. 65-68, 2013. [http://arxiv.org/pdf/1307.7306.pdf .pdf]<br />
<br />
* M. I. Jordan, "On statistics, computation, and scalability," ''Bernoulli'', 19, 1378-1390, (2013). [http://www.cs.berkeley.edu/~jordan/papers/BEJSP17.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, S. Agarwal, M. I. Jordan, and I. Stoica, "A general bootstrap performance diagnostic," ''Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKKD),'' Chicago 2013. [http://www.cs.berkeley.edu/~jordan/papers/kleiner-etal-kdd13.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, and M. I. Jordan, "A scalable bootstrap for massive data," ''Journal of the Royal Society, Series B'' (in press). [http://arxiv.org/pdf/1112.5016v2.pdf .pdf]<br />
<br />
* F. Lindsten, M. I. Jordan, T. Schoen, "Bayesian semiparametric Wiener system identification", Automatica, 2013, 49, 2053-2063.<br />
<br />
* Z. Meng, D. Wei, A. Wiesel, and A. Hero III, "Distributed learning of Gaussian graphical models via marginal likelihoods," ''Proceedings of AISTATS,'' 2013. (Received Notable Paper Award) [http://arxiv.org/pdf/1303.4756.pdf .pdf]<br />
<br />
* Z. Meng, D. Wei, A, Wiesel A. O. Hero III, "Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters," Proceedings of IEEE CAMSAP, pp. 73-76, March 2013. (Received Best Student Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/MengCAMSAP_2013.pdf .pdf]<br />
<br />
* Z. Meng, D.Wei, A. Wiesel, and A. O. Hero III, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," to appear in IEEE Trans on Signal Processing. ArXiv e-prints, March 2013. [http://arxiv.org/abs/1303.4756 .pdf]<br />
<br />
* B. Moran, S. Howard, and D. Cochran, "Positive-operator-valued measures: A general Setting for frames," in ''Excursions in Harmonic Analysis,'' T. Andrews, R. Balan, W. Czaja, K. Okoudjou, and J. Benedetto, eds., vol. 2, pp. 49—64, Springer 2013. [http://cochran.faculty.asu.edu/papers/2013_Howard_POVM_FFT.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed inference using adaptive censoring algorithms," ''Automatica'' (provisionally accepted).<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using adaptive decentralized censoring algorithms," ''Proceedings of the American Control Conference (ACC),'' Washington DC, July 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of the AIAA Guidance, Navigation, and Control Conference,'' Boston, August 2013.<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Value-of-information aware active task assignment," ''Proceedings of SPIE Defense, Security, and Sensing Symposium,'' Baltimore 2013.<br />
<br />
* R. Nadakuditi, "OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage," IEEE Transactions on Information Theory, Accepted for publication [http://arxiv.org/pdf/1306.6042.pdf .pdf]<br />
<br />
* R. Nadakuditi, "When are the most informative components for inference also the principal components," [http://arxiv.org/pdf/1302.1232.pdf .pdf]<br />
<br />
* R. Nadakuditi and M. Newman, "Spectra of random graphs with arbitrary expected degrees," Phys. Rev. E 87, 012803 (2013), [http://arxiv.org/pdf/1208.1275.pdf .pdf]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Efficient information planning in Markov chains," (submitted for publication).<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Incremental belief propagation," (submitted for publication).<br />
<br />
* M. R. Riedl, L. C. Potter, and E. Ertin, "Augmenting synthetic aperture radar with space time adaptive processing," ''Proceedings of SPIE,'' vol. 8746, Baltimore, May 2013..[http://www.ece.osu.edu/~ertine/Riedl2013.pdf .pdf]<br />
<br />
* P. Shearer, A. Gilbert and A. O. Hero, "Correcting camera shake by incremental sparse approximation," Proceedings of IEEE ICIP 2013. (Best Paper Award) [http://web.eecs.umich.edu/~hero/Preprints/cam_L0_icip_final1.pdf .pdf]<br />
<br />
* N. Sugavanam and E. Ertin, "Sensor selection and placement in adversarial environments," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 185-188, December 2013. [http://www.ece.osu.edu/~ertine/NithinErtin2013.pdf .pdf]<br />
<br />
* S. Suvorova, B. Moran, S. D. Howard, and D. Cochran, "Control of sensing by navigation on information gradients,” ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 197—200, December 2013. [http://cochran.faculty.asu.edu/papers/2013_Suvorova_Gradients_GlobalSIP.compressed.pdf .pdf]<br />
<br />
* D. Teng and E. Ertin, "Optimal quantization of likelihood for low complexity sequential testing," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 675-678, December 2013. [http://www.ece.osu.edu/~ertine/TengErtin2013.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. Sadler, A.O. Hero, "Blind Collaborative 20 Questions for Target Localization," ''Proceedings of the IEEE Global Conference on Signal and Information Processing,'' pp. 161-164. [http://web.eecs.umich.edu/~hero/Preprints/Tsiligkaridis_globalsip2013_v6_final.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. O. Hero III, "Covariance estimation in high dimensions via Kronecker product expansions," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 21, pp. 5347 - 5360, Nov 2013. [http://arxiv.org/pdf/1302.2686 .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, "Low separation rank covariance estimation using Kronecker product expansions," ''Proceedings of the IEEE International Symposium on Information Theory (ISIT),'' Istanbul, 2013. [http://web.eecs.umich.edu/~hero/Preprints/IsitSumKP_finalsubmission.pdf .pdf]<br />
<br />
* T. Tsiligkaridis and A. Hero, and S. Zhou, "On convergence of Kronecker graphical lasso algorithms," ''IEEE Transactions on Signal Processing,'' vol. 61, no. 9, pp. 1743--1755, 2013. [http://arxiv.org/abs/1204.0585 .html]<br />
<br />
* T. Tsiligkaridis, B. Sadler, and A. Hero, "A collaborative 20 questions model for target search with human-machine interaction," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://arxiv.org/pdf/1306.1922.pdf .pdf]<br />
<br />
* T. Tsiligkaridis, B. M. Sadler and A. O. Hero III, "On decentralized estimation with active queries" (preprint) [http://arxiv.org/pdf/1312.7848.pdf .pdf] <br />
<br />
* F. Wauthier, M. I. Jordan and N. Jojic, "Efficient ranking from pairwise comparisons", ''International Conference on Machine Learning (ICML)'', 2013. [http://www.cs.berkeley.edu/~jordan/papers/wauthier-jordan-jojic-icml13.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "Multistage Adaptive Estimation of Sparse Signals," ''IEEE Journal of Selected Topics in Signal Processing,'' vol. 7, no. 5, pp. 783-796, October 2013. [http://arxiv.org/pdf/1210.1473.pdf .pdf]<br />
<br />
* D. Wei and A.O. Hero, "A Performance Guarantee for Adaptive Estimation of Sparse Signals," ''Proceedings of IEEE GlobalSIP 2013,'' pp. 189-192, December 2013. [http://web.eecs.umich.edu/~hero/Preprints/adapEstBndsGlobalSIP.pdf .pdf]<br />
<br />
* D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)'' May 2013. [http://www-personal.umich.edu/~dlwei/publications/WH_ICASSP2013.pdf .pdf]<br />
<br />
* G. Whipps, E. Ertin and R. Moses, "Distributed detection with collisions in a random, single-hop wireless sensor network," ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,'' June 2013. [http://www.ece.osu.edu/~ertine/2013icassp_whipps.pdf .pdf]<br />
<br />
* Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly constrained MRFs: Exploring the intrinsic dimensions of higher-order cliques," ''Proc. IEEE International Conference on Computer Vision and Pattern Recognition,'' June 2013. [http://vision.ucla.edu/papers/zengWSY13.pdf .pdf]<br />
<br />
* S. Zhang and A. J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting," ''Advances in Neural Information Processing Systems'', 26. MIT Press, Cambridge, MA, 2013. [http://www.cogsci.ucsd.edu/~ajyu/Papers/nips13_bandit.pdf .pdf]<br />
<br />
<br />
'''''2012'''''<br />
<br />
* D. Cochran, S. D. Howard, and B. Moran, "Operator-theoretic modeling and waveform design for radar in the presence of Doppler," in ''Proceedings of IEEE-AESS RadarCon'', pp. 774-777, May 2012. [http://cochran.faculty.asu.edu/papers/2012_Cochran_Operator_Radarcon.pdf .pdf]<br />
<br />
* D. Cochran, S.D. Howard, B. Moran, and H.A. Schmitt, “Maximum-entropy Surrogation in Network Signal Detection,” ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://cochran.faculty.asu.edu/papers/SSP12_MaxEnt.pdf .pdf]<br />
<br />
* J.C. Duchi, L. Mackey, and M.I. Jordan, "The asymptotics of ranking algorithms," Apr. 2012. [http://arxiv.org/abs/1204.1688 .pdf]<br />
<br />
* E. Ertin, "Sensor selection in adversarial setting," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/ertin_SSP12.pdf .pdf]<br />
<br />
* G. Georgiadis, A. Ayvaci, and S. Soatto, "Actionable saliency detection," in ''Proc. of the IEEE Intl. Conf. on Comp. Vis. and Patt. Recog.'', 2012. [http://vision.ucla.edu/papers/georgiadisAS12.pdf .pdf]<br />
<br />
* V. Karasev, A. Chiuso, and S. Soatto, "Controlled recognition bounds for visual learning and exploration," ''Proceedings of NIPS,'' December 2012.[http://vision.ucla.edu/papers/karasevCS12.pdf .pdf]<br />
<br />
* A. Kleiner, A. Talwalkar, P. Sarkar, M. Jordan, "The Big Data Bootstrap," ''Proceedings of the 29th International Conference on Machine Learning'', Edinburgh, UK, 2012. [http://arxiv.org/pdf/1206.6415v1 .pdf]<br />
<br />
* Z. Meng, A. Wiesel, and A. O. Hero, "Distributed principal component analysis on networks via directed graphical models," ''IEEE ICASSP 2012''. Author preprint [http://web.eecs.umich.edu/~hero/Preprints/meng_icassp12.pdf .pdf]<br />
<br />
* T. Moldovan, P. Abbeel, "Safe Exploration in Markov Decision Processes," Proceedings of the 29th International Conference on Machine Learning, Edinburgh, UK, 2012. [http://arxiv.org/pdf/1205.4810v3 .pdf]<br />
<br />
* B. Moran, S. D. Howard, and D. Cochran, ``An information-geometric approach to sensor scheduling” (Invited paper), ''Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing'', April 2012. [http://cochran.faculty.asu.edu/papers/ICASSP12_Geometric_Sensor_Mgmt.pdf .pdf]<br />
<br />
* W. Moran, S. D. Howard, D. Cochran, and S. Suvorova, "Sensor Management via Riemannian Geometry," ''Proceedings of the Fiftieth Annual Asilomar Conference on Communication, Control and Computing,'', October 2012. [http://cochran.faculty.asu.edu/papers/Allerton12_Riemannian.pdf .pdf]<br />
<br />
* B. Mu, G. Chowdhary, and J. P. How, "Efficient distributed information fusion using value of information based censoring," Aerospace control laboratory technical report, Massachusetts Institute of Technology, July 2012. [http://hdl.handle.net/1721.1/71875 .html].<br />
<br />
* S. Olver and R. Nadakuditi, "Numerical computation of convolutions in free probability theory," Arxiv preprint arXiv:1203.1958, 2012. [http://arxiv.org/abs/1203.1958]<br />
<br />
* G. Papachristoudis and J. W. Fisher III, "Theoretical guarantees on penalized information gathering," ''Proceedings of the IEEE Statistical Signal Processing Workshop'', August 2012. [http://web.eecs.umich.edu/~hero/Preprints/papachristoudis_etal_SSP12.pdf .pdf]<br />
<br />
* A. Ravichandran and S. Soatto, "Modeling stationarity at multiple time-scales for applications in fire detection and traffic monitoring," Proc. of the Eur. Conf. on Comp. Vision, 2012. [http://vision.ucla.edu/papers/ravichandranS12.pdf .pdf]<br />
<br />
* A. Ravichandran and C. Wang and S. Soatto, "SuperFloxels: A Mid-Level Representation for Video Sequences," Proc. of ARTEMIS, October 2012. [http://vision.ucla.edu/papers/ravichandranWRS12.pdf .pdf]<br />
<br />
* C. Rossler, E. Ertin, and R. L. Moses, "Waveform diversity and optimal change detection," ''Proceedings of the 46th Asilomar Conference on Signals, Sysyems, and Computers,'' November 2012.<br />
<br />
* T. Tsiligkardis and A.O. Hero, "Sparse covariance estimation under Kronecker product structure," ''Proc. IEEE ICASSP,'' March 2012. [http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_icassp12.pdf .pdf]<br />
<br />
* T. Tsiligkardis, A.O. Hero, and S. Zhou, "Convergence properties of Kronecker graphical lasso algorithms," ''Proceedings of the IEEE Statistical Signal Processing Workshop,'' Ann Arbor MI, August 2012.[http://web.eecs.umich.edu/~hero/Preprints/tsiligkardis_SSP12.pdf .pdf]<br />
<br />
* L. Valente, R. Tsai, and S. Soatto, "Information gathering control via exploratory path planning," Proc. of the Conf. on Information Sciences and Systems (CISS), March 2012. [http://vision.ucla.edu/papers/valenteTS12CISS.pdf .pdf]<br />
<br />
* F. L. Wauthier and M. I. Jordan, "Bayesian bias mitigation for crowdsourcing," In P. Bartlett, F. Pereira, J. Shawe-Taylor and R. Zemel (Eds.), Advances in Neural Information Processing Systems (NIPS) 24, 2012.[http://books.nips.cc/papers/files/nips24/NIPS2011_1021.pdf .pdf]<br />
<br />
* D. Wei and A. Hero, "Multistage adaptive estimation of sparse signals," in ''Proceedings of the IEEE Statistical Signal Processing Workshop'', Ann Arbor MI, August 2012. [http://web.eecs.umich.edu/~hero/Preprints/wei_SSP12_final.pdf .pdf]<br />
<br />
* G. T. Whipps, E. Ertin, and R. L. Moses, “Threshold considerations in distributed detection in a network of sensors,” in ''Proceedings of SPIE Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III'', volume 8389, Baltimore, MD, May 2012. [http://www.ece.osu.edu/~ertine/Whipps_spie12.pdf .pdf]<br />
<br />
* Z. Yi and S. Soatto, "Information Forests," ''Proc. ITA, Information Theory and Applications'', Feb. 2012. Technical Report UCLA CSD 120002. [http://web.eecs.umich.edu/~hero/Preprints/yiS12ITA.pdf .pdf]<br />
<br />
* Z. Zhang, S. Wang, D. Liu and M. I. Jordan, "EP-GIG priors and applications in Bayesian sparse learning," ''Journal of Machine Learning Research'', 13, 2031-2061, 2012. [http://www.jmlr.org/papers/volume13/zhang12b/zhang12b.pdf .pdf]</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:CriderCochran_poster.pdfFile:CriderCochran poster.pdf2014-11-23T04:37:51Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:37:12Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Importance-weighted adaptive search (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection (Fisher) [http://people.csail.mit.edu/fisher/outgoing/VOIMURI/fisherMURI3Year.pdf 5bFisher_Information_Planning_Year3.pdf]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]] [[Media:CriderCochran_poster.pdf|CriderCochran_full_poster.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:34:46Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Importance-weighted adaptive search (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection (Fisher) [http://people.csail.mit.edu/fisher/outgoing/VOIMURI/fisherMURI3Year.pdf 5bFisher_Information_Planning_Year3.pdf]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]] <br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
[[Media:CriderCochran_poster.pdf|CriderCochran_full_poster.pdf]]<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:33:18Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Importance-weighted adaptive search (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection (Fisher) [http://people.csail.mit.edu/fisher/outgoing/VOIMURI/fisherMURI3Year.pdf 5bFisher_Information_Planning_Year3.pdf]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:21:05Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Importance-weighted adaptive search (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection (Fisher) [[Media:fisher_MURI3Year.pdf|5bFisher_Information_Planning_Year3.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:17:36Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Information planning and active data collection, Part I (How): [[Media:How_muri_3rd_review.pdf|5aHow_AdaptiveSearch_Year3.pdf]]<br />
* Information planning and active data collection, Part II (Fisher) [[Media:How_muri_3rd_review.pdf|5bFisher_Information_Planning_Year3.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|6Ertin_RadarTestbed_Year3.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_Wrapup_Year3.pdf]]<br />
gg<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:07:07Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4Soatto_Fusion-Exploration_Year3.pdf]]<br />
* Information planning and active data collection (How): [[Media:How_muri_3rd_review.pdf|5How_AdaptiveSearch_Year3.pdf]],[http://people.csail.mit.edu/fisher/outgoing/VOIMURI<br />
/fisherMURI3Year.pdf Fisher slides]<br />
* (Fisher)<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_wrapup_Year3.pdf]]<br />
gg<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-23T02:01:26Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_Foundations_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|3Jordan_Learning_Year3.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4SoattoAroMuri2014Nov20.pdf]]<br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]],[http://people.csail.mit.edu/fisher/outgoing/VOIMURI/fisherMURI3Year.pdf Fisher slides]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:4SoattoAroMuri2014Nov20.pdfFile:4SoattoAroMuri2014Nov20.pdf2014-11-20T14:40:01Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T14:36:48Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): [[Media:4SoattoAroMuri2014Nov20.pdf|4SoattoAroMuri2014Nov20.pdf]]<br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:7Hero_wrapup_Year3.pdfFile:7Hero wrapup Year3.pdf2014-11-20T14:31:08Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T14:30:34Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
* Wrap-up (Hero): [[Media:7Hero_wrapup_Year3.pdf|7Hero_wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:1Hero_Overview_Year3_v1.pdfFile:1Hero Overview Year3 v1.pdf2014-11-20T14:29:14Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T14:28:49Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_Overview_Year3_v1.pdf|1Hero_Overview_Year3_v1.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
* Wrap-up (Hero): [[Media:1Hero_wrapup_Year3.pdf|1Hero_wrapup_Year3.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:GreenewaldHero_poster_overview.pdfFile:GreenewaldHero poster overview.pdf2014-11-20T14:19:18Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T14:18:57Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): <br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“ [[Media:GreenewaldHero_poster_overview.pdf|GreenewaldHero_poster_overview.pdf]]<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:25:02Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): <br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:24:10Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): <br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “ Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “"Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “"Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:DURIPNov14.pdfFile:DURIPNov14.pdf2014-11-20T09:22:45Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:How_muri_3rd_review.pdfFile:How muri 3rd review.pdf2014-11-20T09:21:37Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:20:36Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): <br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How): [[Media:How_muri_3rd_review.pdf|How_muri_3rd_review.pdf.pdf]]<br />
* Radar testbed (Ertin): [[Media:DURIPNov14.pdf|DURIPNov14.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “ Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “"Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “"Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:Voi-muri-jordan.pdfFile:Voi-muri-jordan.pdf2014-11-20T09:16:45Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:2Hero_MURI_Year3.pdfFile:2Hero MURI Year3.pdf2014-11-20T09:15:31Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:15:10Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): <br />
* Mathematical foundations for value-of-information (Hero & Cochran): [[Media:2Hero_MURI_Year3.pdf|2Hero_MURI_Year3.pdf]]<br />
* Learning with information constraints (Jordan): [[Media:voi-muri-jordan.pdf|voi-muri-jordan.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How):<br />
* Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “ Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “"Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “"Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:TengErtin_poster_overview.pdfFile:TengErtin poster overview.pdf2014-11-20T09:11:09Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:WhippsErtinMoses_poster_overview.pdfFile:WhippsErtinMoses poster overview.pdf2014-11-20T09:10:43Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:10:25Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran):<br />
* Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How):<br />
* Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“ [[Media:WhippsErtinMoses_poster_overview.pdf|WhippsErtinMoses_poster_overview.pdf]]<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences” [[Media:TengErtin_poster_overview.pdf|TengErtin_poster_overview.pdf]]<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “ Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “"Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “"Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:MengHero_poster_overview.pdfFile:MengHero poster overview.pdf2014-11-20T09:08:04Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:ChungHero_poster_overview.pdfFile:ChungHero poster overview.pdf2014-11-20T09:07:29Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T09:06:59Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran):<br />
* Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How):<br />
* Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
<br />
*Gene T. Whipps, Emre Ertin, Randolph L. Moses, "A consensus based decentralized EM for a mixture of factor analyzers“<br />
*Diyan Teng and Emre Ertin, “Learning to Aggregate Information for Sequential Inferences”<br />
*Nithin Sugavanam, Emre Ertin, “Optimal measurement matrix design for structured signals in clutter and noise”<br />
*K. Greenewald, A.O. Hero, "Regularized Block Toeplitz Covariance Matrix Estimation via Kronecker Product Expansions“<br />
*H.W. Chung, T. Tsiligkaridis, B. Sadler, A. Hero, “Collaborative 20 questions” [[Media:ChungHero_poster_overview.pdf|ChungHero_poster_overview.pdf]]<br />
*Z. Meng, B. Erikson, A.O. Hero, "Learning Latent Variable Gaussian Graphical Models" [[Media:MengHero_poster_overview.pdf|MengHero_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan: Spectral methods meet EM: A provably optimal algorithm for crowdsourcing<br />
*Zhang, Wainwright and Jordan: Lower bounds on the performance of polynomial-time algorithms<br />
*Nishihara, Jegelka and Jordan: On the convergence rate of decomposable submodular function minimization<br />
*J. Duchi, M. Jordan, M. Wainwright and Wibisono: Optimal rates for zero-order optimization: the power of two function evaluations<br />
*Brian E. Moore, Raj Rao Nadakuditi, and Jeffrey A. Fessler, “Improved robust PCA using low-rank denoising with optimal singular value shrinkage”<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*S. Zhang, A. Tran and A. Yu, “Personality and Behavioral Predictors of Human Exploration/Exploitation Behavior in a Bandit Task”<br />
*B. Mu and J. How, “ Focused information gathering with an application in SLAM”<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, “"Scene Segmentation with Dense Reconstruction from Monocular Video“<br />
*Konstantine Tsotsos and Stefano Soatto, “"Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/File:CriderCochran_poster_overview.pdfFile:CriderCochran poster overview.pdf2014-11-20T08:57:57Z<p>Cochran@asu.edu: </p>
<hr />
<div></div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T08:57:37Z<p>Cochran@asu.edu: /* Poster titles and presenters */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran):<br />
* Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How):<br />
* Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview.pdf|CriderCochran_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing"<br />
*Zhang, Wainwright and Jordan, "Lower bounds on the performance of polynomial-time algorithms"<br />
*Nishihara, Jegelka and Jordan, "On the convergence rate of decomposable submodular function minimization"<br />
*Duchi, Jordan, Wainwright and Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations"<br />
*Kristjan Greenewald, Edmund Zelnio, Alfred Hero, "Kronecker PCA Based Space-Time Adaptive Processing (STAP)"<br />
*Zhaoshi Meng, Brian Eriksson, Alfred Hero, "Learning Latent Variable Gaussian Graphical Models"<br />
*Hye Won Chung, Brian M. Sadler and Alfred O. Hero, "Information Surrogates for State Estimation"<br />
*Diyan Teng and Emre Ertin, "Learning to aggregate information for sequential inferences"<br />
*Nithin Sugavanam and Emre Ertin, "Optimal measurement matrix design for structured signals in clutter and noise"<br />
*Gene Whipps, Emre Ertin and Randy Moses, "A consensus-based decentralized EM for a mixture of factor analyzers"<br />
*Brian E. Moore, Raj Rao Nadakuditi and Jeffrey A. Fessler, "Improved robust PCA using low-rank denoting with optimal singular value shrinkage"<br />
*L Crider and D. Cochra, "Value of Information sharing in network signal detection"<br />
*S. Zhang, A. Tran and A. Yu, "Personality and behavioral predictors of human exploration/exploitation behavior in a bandit task"<br />
*B. Mu and J. How, "Focused information gathering with an application in SLAM"<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, "Scene segmentation with dense reconstruction from monocular video"<br />
*Konstantine Tsotsos and Stefano Soatto, "Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T08:52:46Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
* Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
* Mathematical foundations for value-of-information (Hero & Cochran):<br />
* Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
* Information fusion and exploration (Soatto): <br />
* Information planning and active data collection (Fisher and How):<br />
* Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview|CriderCochran_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing"<br />
*Zhang, Wainwright and Jordan, "Lower bounds on the performance of polynomial-time algorithms"<br />
*Nishihara, Jegelka and Jordan, "On the convergence rate of decomposable submodular function minimization"<br />
*Duchi, Jordan, Wainwright and Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations"<br />
*Kristjan Greenewald, Edmund Zelnio, Alfred Hero, "Kronecker PCA Based Space-Time Adaptive Processing (STAP)"<br />
*Zhaoshi Meng, Brian Eriksson, Alfred Hero, "Learning Latent Variable Gaussian Graphical Models"<br />
*Hye Won Chung, Brian M. Sadler and Alfred O. Hero, "Information Surrogates for State Estimation"<br />
*Diyan Teng and Emre Ertin, "Learning to aggregate information for sequential inferences"<br />
*Nithin Sugavanam and Emre Ertin, "Optimal measurement matrix design for structured signals in clutter and noise"<br />
*Gene Whipps, Emre Ertin and Randy Moses, "A consensus-based decentralized EM for a mixture of factor analyzers"<br />
*Brian E. Moore, Raj Rao Nadakuditi and Jeffrey A. Fessler, "Improved robust PCA using low-rank denoting with optimal singular value shrinkage"<br />
*L Crider and D. Cochra, "Value of Information sharing in network signal detection"<br />
*S. Zhang, A. Tran and A. Yu, "Personality and behavioral predictors of human exploration/exploitation behavior in a bandit task"<br />
*B. Mu and J. How, "Focused information gathering with an application in SLAM"<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, "Scene segmentation with dense reconstruction from monocular video"<br />
*Konstantine Tsotsos and Stefano Soatto, "Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T08:50:59Z<p>Cochran@asu.edu: /* Slides for third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Mathematical foundations for value-of-information (Hero & Cochran):<br />
<br />
Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
<br />
Information fusion and exploration (Soatto): <br />
<br />
Information planning and active data collection (Fisher and How):<br />
<br />
Radar testbed (Ertin):<br />
<br />
==== Poster titles and presenters ====<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview|CriderCochran_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing"<br />
*Zhang, Wainwright and Jordan, "Lower bounds on the performance of polynomial-time algorithms"<br />
*Nishihara, Jegelka and Jordan, "On the convergence rate of decomposable submodular function minimization"<br />
*Duchi, Jordan, Wainwright and Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations"<br />
*Kristjan Greenewald, Edmund Zelnio, Alfred Hero, "Kronecker PCA Based Space-Time Adaptive Processing (STAP)"<br />
*Zhaoshi Meng, Brian Eriksson, Alfred Hero, "Learning Latent Variable Gaussian Graphical Models"<br />
*Hye Won Chung, Brian M. Sadler and Alfred O. Hero, "Information Surrogates for State Estimation"<br />
*Diyan Teng and Emre Ertin, "Learning to aggregate information for sequential inferences"<br />
*Nithin Sugavanam and Emre Ertin, "Optimal measurement matrix design for structured signals in clutter and noise"<br />
*Gene Whipps, Emre Ertin and Randy Moses, "A consensus-based decentralized EM for a mixture of factor analyzers"<br />
*Brian E. Moore, Raj Rao Nadakuditi and Jeffrey A. Fessler, "Improved robust PCA using low-rank denoting with optimal singular value shrinkage"<br />
*L Crider and D. Cochra, "Value of Information sharing in network signal detection"<br />
*S. Zhang, A. Tran and A. Yu, "Personality and behavioral predictors of human exploration/exploitation behavior in a bandit task"<br />
*B. Mu and J. How, "Focused information gathering with an application in SLAM"<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, "Scene segmentation with dense reconstruction from monocular video"<br />
*Konstantine Tsotsos and Stefano Soatto, "Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T08:49:14Z<p>Cochran@asu.edu: /* Third-year review meeting */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Slides for third-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
Mathematical foundations for value-of-information (Hero & Cochran):<br />
Learning with information constraints (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
Information fusion and exploration (Soatto): <br />
Information planning and active data collection (Fisher and How):<br />
Radar testbed (Ertin):<br />
<br />
<br />
==== Poster titles and presenters ====<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” [[Media:CriderCochran_poster_overview|CriderCochran_poster_overview.pdf]]<br />
*Zhang, Chen, Zhou and Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing"<br />
*Zhang, Wainwright and Jordan, "Lower bounds on the performance of polynomial-time algorithms"<br />
*Nishihara, Jegelka and Jordan, "On the convergence rate of decomposable submodular function minimization"<br />
*Duchi, Jordan, Wainwright and Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations"<br />
*Kristjan Greenewald, Edmund Zelnio, Alfred Hero, "Kronecker PCA Based Space-Time Adaptive Processing (STAP)"<br />
*Zhaoshi Meng, Brian Eriksson, Alfred Hero, "Learning Latent Variable Gaussian Graphical Models"<br />
*Hye Won Chung, Brian M. Sadler and Alfred O. Hero, "Information Surrogates for State Estimation"<br />
*Diyan Teng and Emre Ertin, "Learning to aggregate information for sequential inferences"<br />
*Nithin Sugavanam and Emre Ertin, "Optimal measurement matrix design for structured signals in clutter and noise"<br />
*Gene Whipps, Emre Ertin and Randy Moses, "A consensus-based decentralized EM for a mixture of factor analyzers"<br />
*Brian E. Moore, Raj Rao Nadakuditi and Jeffrey A. Fessler, "Improved robust PCA using low-rank denoting with optimal singular value shrinkage"<br />
*L Crider and D. Cochra, "Value of Information sharing in network signal detection"<br />
*S. Zhang, A. Tran and A. Yu, "Personality and behavioral predictors of human exploration/exploitation behavior in a bandit task"<br />
*B. Mu and J. How, "Focused information gathering with an application in SLAM"<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, "Scene segmentation with dense reconstruction from monocular video"<br />
*Konstantine Tsotsos and Stefano Soatto, "Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.eduhttps://wiki.eecs.umich.edu/voimuri/index.php/Main_PageMain Page2014-11-20T08:39:22Z<p>Cochran@asu.edu: /* Agenda (Tentative) */</p>
<hr />
<div>== Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation ==<br />
Program Manager: Dr. Liyi Dai, ARO<br />
<br />
<br />
== MURI Team ==<br />
[[Image:voiwiki_seals.png]]<br />
<br /><br /><br />
* '''University of Michigan:''' Alfred Hero (PI), Raj Rao Nadakuditi<br />
* '''MIT:''' John Fisher, Jonathan How, Alan Willsky<br />
* '''Ohio State University:''' Randolph Moses, Emre Ertin<br />
* '''University of California, Berkeley:''' Michael Jordan<br />
* '''University of California, Los Angeles:''' Stefano Soatto<br />
* '''University of California, San Diego:''' Angela Yu<br />
* '''Arizona State University:''' Doug Cochran<br />
<br />
A complete roster and web page links may be found at [[People]].<br />
<br />
== Overview ==<br />
Our research program aims to lay the foundations for a new systems theory that applies to general controlled information gathering and inference systems with mission planning. Our research approach comprises three inter-related research themes that collectively address the most critical research challenges. These thrusts are:<br />
<br />
# information-driven structure learning and representation<br />
# distributed information fusion<br />
# active resource management for effective information exploitation.<br />
<br />
We aim to develop an end-to-end framework that will result in better raw sensor data acquisition and processing, improved fusion of multiple sources and modalities, and more effective sensor management and control.<br />
<br />
=== Executive Summary ===<br />
An executive summary of the project can be found [[executive summary|here]].<br />
<br />
<br />
== Meetings ==<br />
=== Third-year review meeting ===<br />
====Time and Location====<br />
Thursday, Nov 20th, 2014<br/><br />
8:30 am - 4:30 pm<br/><br />
AMP Lab, Soda Hall<br/><br />
Berkeley, California <br/><br />
Directions: [https://amplab.cs.berkeley.edu/about/directions/ .html] <br/><br />
<br />
====Accomodations====<br />
Hotel Shattuck Plaza <br/><br />
Tel: 510-845-7300 (ask for "AMPLab group special rate")<br/><br />
Link: [http://booking.ihotelier.com/istay/istay.jsp?groupID=1271276&hotelID=17233]. <br/><br />
Cutoff date: Tuesday, October 21, 2014 <br/><br />
Hotel web site: http://www.hotelshattuckplaza.com/<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Get settled with coffee <br />
8:30 - 8:35 Welcome (Liyi Dai) <br />
8:35 - 8:50 Project overview (Al Hero) <br />
8:50 - 9:30 Mathematical foundations for value-of-information (Al Hero and Doug Cochran)<br />
9:30 - 10:10 Learning with information constraints (Michael Jordan) <br />
10:10 - 10:30 Break<br />
10:30 - 11:30 Poster highlight talks<br />
11:30 - 1:30 Poster session and lunch <br />
1:30 - 2:10 Information fusion and exploration (Stefano Soatto)<br />
2:10 - 2:50 Information planning and active data collection (John Fisher and Jon How)<br />
2:50 - 3:10 Break<br />
3:10 - 3:30 Radar testbed (Emre Ertin)<br />
3:30 - 3:45 Wrapup (Al Hero)<br />
3:45 - 4:30 Government discussion and de-briefing<br />
4:30 Adjourn<br />
<br />
==== Poster titles and presenters ====<br />
*Lauren Crider, Douglas Cochran, “Value of Information Sharing in Network Signal Detection.” <br />
*Zhang, Chen, Zhou and Jordan, "Spectral methods meet EM: A provably optimal algorithm for crowdsourcing"<br />
*Zhang, Wainwright and Jordan, "Lower bounds on the performance of polynomial-time algorithms"<br />
*Nishihara, Jegelka and Jordan, "On the convergence rate of decomposable submodular function minimization"<br />
*Duchi, Jordan, Wainwright and Wibisono, "Optimal rates for zero-order optimization: the power of two function evaluations"<br />
*Kristjan Greenewald, Edmund Zelnio, Alfred Hero, "Kronecker PCA Based Space-Time Adaptive Processing (STAP)"<br />
*Zhaoshi Meng, Brian Eriksson, Alfred Hero, "Learning Latent Variable Gaussian Graphical Models"<br />
*Hye Won Chung, Brian M. Sadler and Alfred O. Hero, "Information Surrogates for State Estimation"<br />
*Diyan Teng and Emre Ertin, "Learning to aggregate information for sequential inferences"<br />
*Nithin Sugavanam and Emre Ertin, "Optimal measurement matrix design for structured signals in clutter and noise"<br />
*Gene Whipps, Emre Ertin and Randy Moses, "A consensus-based decentralized EM for a mixture of factor analyzers"<br />
*Brian E. Moore, Raj Rao Nadakuditi and Jeffrey A. Fessler, "Improved robust PCA using low-rank denoting with optimal singular value shrinkage"<br />
*L Crider and D. Cochra, "Value of Information sharing in network signal detection"<br />
*S. Zhang, A. Tran and A. Yu, "Personality and behavioral predictors of human exploration/exploitation behavior in a bandit task"<br />
*B. Mu and J. How, "Focused information gathering with an application in SLAM"<br />
*Josh Hernandez, Konstantine Tsotsos, Gottfried Graber, and Stefano Soatto, "Scene segmentation with dense reconstruction from monocular video"<br />
*Konstantine Tsotsos and Stefano Soatto, "Robust Visual-Inertial Navigation and Mapping"<br />
<br />
=== ARL Visit June 14 2014 ===<br />
PDF slide presentation (Hero): [[Media:ARL_2014_slides_small.pdf|ARL_2014_slides.pdf]] <br />
<br />
<br />
PDF slide presentation (Yu): [[Media:ARL14 yu_v2.pdf |ARL14 yu.pdf]]<br />
<br />
=== Second-year review meeting ===<br />
Monday, September 9th, 2013<br/><br />
8:30 am - 4:30 pm<br/><br />
Seminar Room, Zahl Building <br/><br />
U.S. Army Research Laboratory <br/><br />
2800 Powder Mill Road, Adelphi MD 20783 <br/><br />
ARL visitor pamphlet: [http://www.arl.army.mil/www/pages/43/VG_ALC.PDF .pdf] <br/><br/><br />
'''Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO'''<br />
<br />
Morning of the review:<br />
<br />
Visitors budget 30 minutes to get onto base, get badged, and be escorted to the seminar room. Parking at ARL can be challenging, so allowing additional time for this is also advisable. Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors must enter through building 205 and report to the badging office. '''Government issued ID''' will be required (2 forms of government issued ID required for non-US citizens). This building and the parking lots are labeled 1n the ARL visitors pamphlet. US visitors will be escorted from the badging room to the meeting room in Zahl. Non-US visitors will need to be escorted from the main front gate to parking, badging, and then the meeting room. Visit requests, filed in advance of the meeting, let the front gate guards know the appropriate escorts for the non-US visitors. <br />
<br />
<br />
==== Agenda ====<br />
<br />
Time Activity <br />
8:00 – 8:30 Check in at ARL visitor office <br />
8:30 - 8:35 Welcome, Liyi Dai <br />
8:35 - 8:50 Project overview, Al Hero <br />
8:50 - 10:15 Thrust area I: Learning and Representation <br />
Overview, Michael Jordan <br />
PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu<br />
10:15 - 10:30 Break <br />
10:30 - 11:35 Thrust area III: Information Exploitation<br />
Overview, Doug Cochran<br />
PI summaries: Emre Ertin, Jon How, Doug Cochran<br />
11:35 - 12:05 Collaborative highlights and DURIP testbed (Emre Ertin)<br />
12:05 - 1:50 Lunch and poster session<br />
1:50 - 2:55 Thrust area II: Information Fusion<br />
Overview, John Fisher<br />
PI summaries, Raj Rao Nadakuditi, Randy Moses, John Fisher<br />
2:55 - 3:05 Wrap-up, Al Hero<br />
3:05 - 4:05 Government discussion and de-briefing<br />
4:05 Adjourn<br />
<br />
==== Slides for second-year review meeting ====<br />
<br />
Project overview (Hero): [[Media:1Hero_overview_13_v.pdf|1Hero_overview_13_v.pdf]]<br />
<br />
Learning thrust area overview (Jordan): [[Media:Jordan_thrust1_overview.pdf]]<br />
:Learning thrust subarea 1 (Jordan): [[Media:3jordan_progress_report.pdf]]<br />
:Learning thrust subarea 2 (Soatto): [[Media:4AroMuriReviewSoatto2013.pdf]], [[File:search_demo.mp4]], [[File:searchdemo2.mp4]]<br />
:Learning thrust subarea 3 (Hero): [[Media:5Hero_thrust1_13.pdf|5Hero_thrust1_13.pdf]]<br />
:Learning thrust subarea 4 (Yu): [[Media:6yu.pdf]]<br />
<br />
Exploitation thrust area overview (Cochran): <br />
:Exploitation thrust subarea 1 (Ertin): [[Media:8ErtinMURI2013.pdf|Ertin8MURI2013.pdf]]<br />
:Exploitation thrust subarea 2 (How): [[Media:9How_2013_muri_review.pdf|9How_2013_muri_review.pdf]]<br />
:Exploitation thrust subarea 3 (Cochran): [[Media:10Cochran_thrust3_13.pdf|10Cochran_thrust3_13.pdf]]<br />
<br />
DURIP testbed (Ertin): [[Media:11DURIPSlides.pdf|11DURIPSlides.pdf]]<br />
Collaborative highlights (Hero): [[Media:11EightCollaborations.pdf]]<br />
<br />
Fusion thrust area overview (Fisher): <br />
:Fusion thrust subarea 1 (Nadakuditi): [[Media:13Nadakuditi_MURI.pdf|13Nadakuditi_MURI.pdf]]<br />
:Fusion thrust subarea 2 (Moses): [[Media:14Moses_thrust2_13.pdf|14Moses_thrust2_13.pdf]]<br />
:Fusion thrust subarea 3 (Fisher): [[Media:15Fisher_thrust2_2013.pdf|15Fisher_thrust2_2013.pdf]]<br />
<br />
Wrap-up (Hero): [[Media:16Hero_wrapup_13_v.pdf|16Hero_wrapup_13_v.pdf]]<br />
<br />
==== Poster titles and presenters ====<br />
<br />
* ''N. Asendorf'' and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" <!--[[ Media:asendorf_abstract_2013.pdf|Abstract]] --><br />
* ''T. Broderick,'' N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"<br />
* ''L. Crider,'' R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection"<!-- [[Media:MURI2013Poster.pdf|Poster]]--><br />
* ''Z. Meng,", D. Wei, A. Wiesel, and A. Hero, "Distributed learning of Gaussuab graphical models via marginal likelihoods" <!--[[Media:meng_poster_aistats_final.pdf|Poster]]--><br />
* ''B. Mu,'' G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment" <!--[[Media:MURI2013MuPoster2.pdf|Poster]]--><br />
* B. Mu, G. Chowdhary, J. P. How, "VoI Aware Active Task Assignment Hardware Experiment"<!-- [[Media:MURI2013MuPoster.pdf|Poster]] --><br />
* ''G. Papachristoudis'' and J. W. Fisher, "Efficient Information Planning in Graphical Models"<br />
* ''J. Straub'' and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"<br />
* ''N. Sugavanam,'' and E. Ertin, "Robust Filtering with Uncertainty in Initial State" <!--[[Media:MURI2013ErtinFilteringPoster.pdf|Poster]]--><br />
* ''N. Sugavanam,'' and E. Ertin, "Sensor Selection Problems in Adversarial Setting" <br />
* ''R. T. Suryaprakash'' and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" <!--[[Media:Suryaprakesh_abstract_2013.pdf|Abstract]]--><br />
* ''D. Teng,'' and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing"<!-- [[Media:MURI2013QuantizationPoster.pdf|Poster]]--><br />
* ''D. Teng,''and E. Ertin, "Learning Statistical Manifolds for Target Signatures" <!--[[Media:MURI2013ErtinLearningPoster.pdf|Poster]]--><br />
* ''T. Tsiligkaridis'' and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"<br />
* ''T. Tsiligkaridis,'' B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"<br />
* ''G. T. Whipps,'' E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"<br />
* ''S. Zhang'' and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting" <br />
* Y. Zeng, C. Wang, ''S. Soatto,'' and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"<br />
<br />
==== Collaborative highlights topics ====<br />
<br />
* Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)<br />
* Convex VoI criteria for mission planning (Hero, How) <br />
* Information-geometric VoI in sensor planning (Cochran, Hero)<br />
* Learning how to rank many objects (Jordan, Hero) <br />
* Improving information via human-in-the-loop processing (Hero, Jordan, Yu)<br />
* Non-parametric estimation of Fisher information (Ertin, Hero)<br />
* Quantized Belief-States and Confirmation Bias (Ertin, Yu)<br />
* Kronecker product covariance representations in distributed sensing (Ertin, Hero)<br />
* Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran)<br />
<br />
=== First year review meeting ===<br />
Monday, October 29, 2012<br/><br />
8:00 AM - 4:00 PM<br/><br />
Rice Conference Room, 6764 Boelter Hall <br/><br />
UCLA, Los Angeles, CA 90095 <br/><br />
http://www.engineer.ucla.edu/visitors/rice-room-directions<br />
<br />
[[First year review: Hotels and transportation|'''Hotels and transportation''']]<br />
<br />
Parking information for those with cars:<br />
<br />
For those arriving by car from the South, exit the 405 freeway at Wilshire East, then follow Wilshire East to Westwood North, that end into campus. Past the hospitals there is a parking booth in the center divider. Stop there and get a daily permit for $11. Also ask them for a campus map. You will go to Boelter Hall, that is on your right behind the building that carries the sign "Henry Samueli School of Engineering and Applied Science". We will meet in the Rice Conference Room on the 6th floor, south-west corner of the building. For any problems, call Stefano Soatto at (310) 869 2972.<br />
<br />
Agenda (Revised):<br />
<br />
The formal agenda will start at 8:30AM with overview and presentations from the VoI MURI team. We will break for lunch and posters (presented by MURI-supported students) at around 11:30AM. We will then resume at 1PM with more presentations and wrapup, ending at around 2:30. This will be followed by a government caucus and feedback at around 3:30PM to the MURI team.<br />
<br />
<br />
<br />
=== Kickoff meeting ===<br />
Thursday, October 13, 2011<br/><br />
8:30 AM - 4:30 PM<br/><br />
Johnson Rooms, 3rd floor, Lurie Engineering Center<br/><br />
1221 Beal Avenue, Ann Arbor, MI 48109<br/><br />
http://www.engin.umich.edu/facilities/maps/luriecenter.html<br />
<br />
For visitor information, please click [[visitor info|here]].<br />
<br />
<br />
=== Pre-kickoff meeting ===<br />
Wednesday, October 12, 2011<br /><br />
10 AM - 5 PM<br /><br />
George Haddad Conference Room, 3rd floor, EECS building<br /><br />
1301 Beal Avenue, Ann Arbor, MI 48109-2122<br /><br />
http://www.engin.umich.edu/facilities/maps/eecs.html<br />
<br />
==Internal collaborations==<br />
[[collaborations]]: collaborative activities between co-PI's.<br />
<br />
== Publications ==<br />
[[publications]]: links to publications resulting from this program.<br />
<br />
== Reports ==<br />
[[reports]]: links to reports on this program.<br />
<br />
<br />
== Code ==<br />
[[code]]: links to software related to this research.<br />
<br />
<br />
== Gain access ==<br />
Please email to obtain a username and password to edit this wiki. All affiliated faculty, researchers, and students are encouraged to have access. We hope to make this the central distribution center for information, files, etc.<br />
<br />
<br />
== Internal ==<br />
To the [http://{{SERVERNAME}}/voimurip private section] of this wiki.</div>Cochran@asu.edu