Value-centered Information Theory for Adaptive Learning, Inference, Tracking, and Exploitation
Program Manager: Dr. Liyi Dai, ARO
- University of Michigan: Alfred Hero (PI), Raj Rao Nadakuditi
- MIT: John Fisher, Jonathan How, Alan Willsky
- Ohio State University: Randolph Moses, Emre Ertin
- University of California, Berkeley: Michael Jordan
- University of California, Los Angeles: Stefano Soatto
- University of California, San Diego: Angela Yu
- Arizona State University: Doug Cochran
A complete roster and web page links may be found at People.
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:
- information-driven structure learning and representation
- distributed information fusion
- active resource management for effective information exploitation.
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.
An executive summary of the project can be found here.
Second-year review meeting
Monday, September 9th, 2013
8:30 am - 4:30 pm
Seminar Room, Zahl Building
U.S. Army Research Laboratory
2800 Powder Mill Road, Adelphi MD 20783
ARL visitor pamphlet: .pdf
Non-ARL personnel should arrange invitations for attendance through Dr. Liyi Dai, ARO
Morning of the review:
You will need to budget 30 minutes to get onto base, get your badge, and get escorted to the seminar room. Government issued ID will be required (2 forms of government issued ID required for non-US citizens). Visitors should try to park in the South Lot. Late arrivals may have to park in K Lot. Visitors will then enter through building 205 and report to the badging office. All are labeled on 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. The visit requests will let the guards know who to contact to escort the non-US visitors.
Time Activity 8:00 – 8:30 Check in at ARL visitor office 8:30 - 8:35 Welcome, Liyi Dai 8:35 - 8:50 Project overview, Al Hero 8:50 - 10:15 Thrust area I: Learning and Representation Overview, Michael Jordan PI Summaries, Michael Jordan, Stefano Soatto, Al Hero, Angela Yu 10:15 - 10:30 Break 10:30 - 11:35 Thrust area II: Information Fusion Overview, John Fisher PI summaries, Raj Rao Nadakuditi, Emre Ertin, John Fisher 11:35 - 12:00 Collaborative highlights 12:00 - 12:15 DURIP testbed, Emre Ertin 12:15 - 2:15 Lunch and poster session 2:15 - 3:20 Thrust area III: Information Exploitation Overview, Doug Cochran PI summaries: Randy Moses, Jon How, Doug Cochran 3:20 - 3:30 Wrap-up, Al Hero 3:30 - 4:30 Government discussion and de-briefing 4:30 Adjourn
Slides for second-year review meeting
Learning thrust area overview (Jordan):
- Learning thrust subarea 1 (Jordan):
- Learning thrust subarea 2 (Soatto): File:4AroMuriReviewSoatto2013.pdf, File:Search demo.mp4, File:Searchdemo2.mp4
- Learning thrust subarea 3 (Hero): File:5Hero thrust1 13.pptx,File:5Hero thrust1 13.pdf
- Learning thrust subarea 4 (Yu):
Fusion thrust area overview (Fisher):
- Fusion thrust subarea 1 (Nadakuditi): File:Nadakuditi MURI.pptx
- Fusion thrust subarea 2 (Ertin): File:ErtinMURI2013.pptx
- Fusion thrust subarea 3 (Fisher): File:3Fisher thrust2 2013.pdf
Collaborative highlights (Hero): DURIP testbed (Ertin):
Exploitation thrust area overview (Cochran):
- Exploitation thrust subarea 1 (Moses): File:Moses thrust2 13.pptx,File:Moses thrust2 13.pdf
- Exploitation thrust subarea 2 (How):
- Exploitation thrust subarea 3 (Cochran): File:15Cochran thrust3 13.pptx
Poster titles and presenters
- N. Asendorf and R. R. Nadakuditi, "The Performance of Deterministic Matched Subspace Detectors: Informative Versus Useful Subspace Components" Abstract
- T. Broderick, N. Boyd, A. Wibisono, A. Wilson, and M.I. Jordan, "Streaming Variational Bayes"
- L. Crider, R. R. Nadakuditi, and D. Cochran, "Analyze-Fuse vs. Fuse-Analyze in Multiple-channel Emitter Detection" Poster
- B. Mu, G. Newstadt, J. How, and A. Hero, "Heterogeneous Agent Target Assignment in an Unknown Environment"
- G. Papachristoudis and J. W. Fisher, "Efficient Information Planning in Graphical Models"
- J. Straub and J. W. Fisher, "Information gathering with mobile agents: sensor and model complexity tradeoffs"
- N. Sugavanam, and E. Ertin, "Robust Filtering with Uncertainty in Initial State" Poster
- N. Sugavanam, and E. Ertin, "Sensor Selection Problems in Adversarial Setting"
- R. T. Suryaprakash and R. R. Nadakuditi, "The Performance of MUSIC-Based DOA In White Noise With Missing Data" Abstract
- D. Teng, and E. Ertin, "Optimal Quantization of Likelihood for Low Complexity Sequential Testing" Poster
- D. Teng,and E. Ertin, "Learning Statistical Manifolds for Target Signatures" Poster
- T. Tsiligkaridis and A. Hero, "Covariance Estimation In High Dimensions via Kronecker Product Expansions"
- T. Tsiligkaridis, B. Sadler, and A. Hero, "Collaborative 20 Questions for Target Localization"
- G. T. Whipps, E. Ertin, and R. L. Moses "Decentralized EM for a Mixture of Factor Analyzers"
- G. T. Whipps, E. Ertin, and R. L. Moses "Distributed Detection with Collisions in a Single-hop Wireless Sensor Network"
- S. Zhang and A. J. Yu, "Forgetful Bayes and Myopic Planning: Human Decision Making in a Bandit Setting"
- Y. Zeng, C. Wang, S. Soatto, and S.-T. Yau, "Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques"
Collaborative highlights topics
- Use of the DURIP testbed capabilities (Ertin, Hero, Moses, How, Fisher, Cochran)
- Convex VoI criteria for mission planning (Hero, How) File:Collaboration HowHero.pptx
- Information-geometric VoI in sensor planning (Cochran, Hero) File:Collaboration HeroCochran.pptx
- Learning how to rank many objects (Jordan, Hero) File:Collaboration JordanHero.pptx
- Improving information via human-in-the-loop processing (Hero, Jordan, Yu)
- Non-parametric estimation of Fisher information (Ertin, Hero)
- Quantized Belief-States and Confirmation Bias (Ertin, Yu)
- Kronecker product covariance representations in distributed sensing (Ertin, Hero)
- Analyze-Fuse versus Fuse-Analyze in multi-channel detection (Nadakuditi, Cochran) File:Collaboration NadakuditiCochran.pptx
First year review meeting
Monday, October 29, 2012
8:00 AM - 4:00 PM
Rice Conference Room, 6764 Boelter Hall
UCLA, Los Angeles, CA 90095
Parking information for those with cars:
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.
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.
Thursday, October 13, 2011
8:30 AM - 4:30 PM
Johnson Rooms, 3rd floor, Lurie Engineering Center
1221 Beal Avenue, Ann Arbor, MI 48109
For visitor information, please click here.
Wednesday, October 12, 2011
10 AM - 5 PM
George Haddad Conference Room, 3rd floor, EECS building
1301 Beal Avenue, Ann Arbor, MI 48109-2122
collaborations: collaborative activities between co-PI's.
publications: links to publications resulting from this program.
reports: links to reports on this program.
code: links to software related to this research.
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