Publications

From Voimuri Wiki
Publications
Jump to: navigation, search
(→Publications reporting on research supported by this MURI)
(→Publications reporting on research supported by this MURI)
 
(39 intermediate revisions by 7 users not shown)
Line 5: Line 5:
 
[[publications]]: links to publications resulting from this program.
 
[[publications]]: links to publications resulting from this program.
  
−
'''''2015'''''
+
'''''2017'''''
  
−
* 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]
+
*Y. Altmann, S. McLaughlin, A. O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Trans on Computational Imaging, to appear 2017. [https://arxiv.org/pdf/1501.03731v2.pdf .pdf].
  
−
* 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.
+
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," to appear in IEEE Trans on Aerospace and Electronic Systems (AES), 2017. [https://arxiv.org/pdf/1501.07481.pdf .pdf].
  
−
* 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]
+
* T.-P. Xie, N. Nasrabadi, and A.O. Hero, “Learning to classify with possible sensor failures," to appear in IEEE Transactions on Signal Processing, 2017. [https://arxiv.org/pdf/1507.04540v3.pdf .pdf].
  
−
* 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]
+
* Y. Yilmaz and Alfred Hero, "Multimodal Event Detection in Twitter Hashtag Networks," to appear in Journ. of Signal Processing Systems, 2017. [https://arxiv.org/pdf/1601.00306.pdf .pdf].
  
−
* 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]
 
  
−
* 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]
+
'''''2016'''''
  
−
* 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]
+
* A. El Alaoui, X. Cheng, A. Ramdas, M. Wainwright, and M. I. Jordan, "Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning",  Proceedings of the Conference on Computational Learning Theory (COLT), New York, NY, June 2016. [https://arxiv.org/pdf/1603.00564v1.pdf .pdf].
  
−
* 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]
+
* Y. Altmann, S. McLaughlin, A.O. Hero, "Robust linear spectral unmixing using outlier detection," IEEE Trans on Computational Imaging, 2016. [https://arxiv.org/pdf/1501.03731.pdf .pdf].
  
−
* 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]
+
* V. Berisha, A. Wisler, A.O. Hero, and A. Spanias, "Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure" IEEE Transactions on Signal Processing, vol. 64, no. 3, pp.580-591, Feb. 2016.  [https://arxiv.org/pdf/1412.6534.pdf .pdf]
 +
 
 +
* H.-W. Chung, L. Zheng, B. Sadler, A.O. Hero, "Unequal Error Protection Coding Approaches to the Noisy 20 Questions Problem," IEEE Intl Conf. on Information Theory (ISIT), July 2016, Barcelona Spain. [http://web.eecs.umich.edu/~hero/Preprints/UEP_ISIT2016_final.pdf .pdf].
 +
 
 +
* X. Gong, J. Zhang, D. Cochran, and K. Xing, "Optimal placement for barrier coverage in bistatic radar sensor networks,'' IEEE/ACM Transactions on Networking}, vol. 24, no. 1, pp. 259--271, 2016. [http://cochran.faculty.asu.edu/papers/2014_Gong_Barrier_IEEEToN.pdf .pdf]
 +
 
 +
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," IEEE Trans on Aerospace and Electronic Systems (AES), 2016. [https://arxiv.org/pdf/1501.07481v3.pdf .pdf].
 +
 
 +
*K. Greenewald, E. Zelnio and A.O. Hero, "Kronecker STAP and SAR GMTI," Proceedings of SPIE Symposium on Defense, Sensing and Security April 2016. [https://arxiv.org/pdf/1604.03622v1.pdf .pdf].
 +
 
 +
*N. Halay, K. Todros and A.O. Hero, "Measure transformed quasi-likelihood ratio test for Bayesian binary hypothesis testing," IEEE Workshop on Statistical Signal Processing (SSP), Pamplona Spain, June 2016. [http://web.eecs.umich.edu/~hero/Preprints/SSP16_Todros_PAPER.pdf .pdf].
 +
 
 +
* A.O. Hero and B. Rajaratnam, "Foundational principles for large-scale inference: illustrations through correlation mining," Proceedings of the IEEE, vol. 104, no. 1, pp. 93-110, Jan 2016.  [https://arxiv.org/abs/1505.02475.pdf .pdf].
 +
 
 +
* J. Lee, M. Simchowitz, B. Recht, and M. I. Jordan, "Gradient descent only converges to minimizers,"  Proceedings of the Conference on Computational Learning Theory (COLT), New York, NY, June 2016. [https://arxiv.org/abs/1602.04915v2.pdf .pdf].
 +
 
 +
*  L. Li, V. Malave, A. Song, and A. J. Yu, "Extracting human face similarity judgments: Pairs or triplets?," Proceedings of the Thirty-Eighth Annual Conference of the Cognitive Science Society, 2016. [https://mindmodeling.org/cogsci2016/papers/0253/paper0253.pdf .pdf].
 +
 
 +
* Q. Liu, J.D. Lee, M.I. Jordan, "A kernelized Stein discrepancy for goodness-of-fit tests," In Proceedings of the International Conference on Machine Learning (ICML) Sep 2016. [http://www.jmlr.org/proceedings/papers/v48/liub16.pdf .pdf].
 +
 
 +
* B. Moore and R. R. Nadakuditi, “Robust pca: Low rank matrix estimation with hard or soft thresholding based outlier rejection,'' in Proceedings of IEEE GlobalSIP conference, 2016. [http://www.ieeeglobalsip.org/Papers/ViewPapers.asp?PaperNum=1526 .html].
 +
 
 +
* B. Mu, S.-Y. Liu, L. Paull, J. Leonard, and J. P. How, “Slam with objects using a nonparametric pose graph,'' in Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, Oct 2016. [http://ieeexplore.ieee.org/document/7759677/ .html].
 +
 
 +
* B. Mu, L. Paull, A. Akbar Agha-mohammadi, J. How, and J. Leonard, “Two-stage focused inference for resource-constrained minimal collision navigation,'' IEEE Transactions on Robotics, 2016 (conditionally accepted).  [http://www.roboticsproceedings.org/rss11/p04.pdf .pdf].
 +
 
 +
* G. E. Newstadt, B. Mu, D. Wei, J. P. How, A. O. Hero III, "Importance-weighted adaptive search for multi-class targets," IEEE Trans on Signal Processing, vol. 63, no. 23, 6299-6314, Dec. 2015.  [https://arxiv.org/pdf/1603.00564v1.pdf .pdf].
 +
 
 +
* S. Ravishankar, B. E. Moore, R. R. Nadakuditi, and J. A. Fessler, “Lassi: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging,'' in IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), pp. 1–5,  2016. [https://arxiv.org/pdf/1611.04069v2.pdf  .pdf].
 +
 
 +
* S. Ravishankar, R. R. Nadakuditi, and J. A. Fessler, “Efficient learning of dictionaries with low rank atoms,'' in  Proceedings of IEEE GlobalSIP conference, 2016. [http://www.ieeeglobalsip.org/Papers/ViewPapers.asp?PaperNum=1471  .pdf].
 +
 
 +
* S. Ravishankar, R. R. Nadakuditi, and J. A. Fessler, “Sum of outer products dictionary learning for inverse problems,'' in Proceedings of IEEE GlobalSIP conference, 2016. [https://arxiv.org/pdf/1511.08842v1.pdf  .pdf].
 +
 
 +
* S. Soatto, “Visual inertial semantic scene representation,'' UCLA TR CSD160005, May 20, 2016. [https://arxiv.org/pdf/1606.03968v1.pdf .pdf].
 +
 
 +
* S. Soatto and A. Chiuso, “Visual representations: Defining properties and deep approximations,'' Proc. of the Intl. Conf. on Learning Representations (ICLR); ArXiv: 1411.7676, May 2016. [https://arxiv.org/pdf/1411.7676v9.pdf .pdf].
 +
 
 +
* N. Sugavanam, S. Baskar, and E. Ertin, “Recovery guarantees for high resolution radar sensing with compressive illumination,”€ Fourth International Conference on Compressive Sensing applied to Radar (COSERA2016), Sep 2016. [https://arxiv.org/pdf/1508.07969.pdf .pdf].
 +
 
 +
* N. Sugavanam and E. Ertin, “Recovery guarantees for high resolution radar sensing with compressive illumination,” chapter in Compressive Sensing of Earth Observations,edited by C. Chen,  CRC Press, 2016. [https://arxiv.org/pdf/1508.07969.pdf .pdf].
 +
 
 +
*  D. Teng and E. Ertin, “Wald-kernel: A method for learning sequential detectors,” in Proceedings of IEEE Statistical Signal Processing (SSP2016), June 2016. [http://ieeexplore.ieee.org/document/7551760/  .pdf].
 +
 
 +
* D. Wang, J. Fisher III, and Q. Liu, “Efficient observation selection in probabilistic graphical models using bayesian lower bounds,'' in Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, pp. 755--764. AUAI Press, 2016. [http://auai.org/uai2016/proceedings/papers/83.pdf .html].
 +
 
 +
* G. T. Whipps, E. Ertin, and R. L. . Moses, “Constrained fisher scoring for a mixture of factor analyzers,” Army Research Labaratory, Tech. Rep. ARL-TR-7836, 2016.
 +
 
 +
* T.-P. Xie, N. Nasrabadi, A.O. Hero, "Learning to classify with possible sensor failures,"  IEEE Transactions on Signal Processing, 2016.  [http://arxiv.org/pdf/1507.04540 .pdf].
 +
 
 +
* Y. Yilmaz and A.O. Hero, "Multimodal Event Detection in Twitter Hashtag Networks,"  Journ. of Signal Processing Systems, 2016.  [http://arxiv.org/pdf/1601.00306 .pdf]. 
 +
 
 +
 
 +
'''''2015'''''
 +
 
 +
* 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]
 +
 
 +
* 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-personal.umich.edu/~hyechung/paper_o/cogsci15.pdf .pdf]
  
 
* 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]
 
* 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]
 +
 +
* 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]
  
 
* 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]
 
* 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]
  
 
* 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]
 
* 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]
 +
 +
* 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]
  
 
* 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]
 
* 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]
 +
 +
* H.-W. Chung, B. M. Sadler, and A. O. Hero, "Bounds on variance for symmetric unimodal distributions," Allerton Conference, Oct. 2015. [https://arxiv.org/pdf/1510.08341.pdf  .pdf]
  
 
* 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]
 
* 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]
Line 38: Line 100:
  
 
* 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]
 
* 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]
 +
 +
* 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]
 +
 +
* O. Freifeld, K. Batmanghelich, J. W. Fisher, et al., “Highly-expressive spaces of well-behaved transformations: Keeping it simple,'' in IEEE International Conference on Computer Vision (ICCV), pp.  2911--2919. 2015. [http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Freifeld_Highly-Expressive_Spaces_of_ICCV_2015_paper.pdf  .pdf].
  
 
* 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]
 
* 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]
 +
 +
* 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]
 +
 +
* 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]
 +
 +
* M. Graham, J. How, and D. Gustafson, “Robust incremental {SLAM} with consistency-checking,'' in Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on, pp.  117--124, Sept 2015. [http://ieeexplore.ieee.org/document/7353363/?reload=true&arnumber=7353363  .html].
  
 
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf]  
 
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," submitted Jan 2015. [http://arxiv.org/pdf/1501.07481 .pdf]  
Line 49: Line 121:
 
* 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]
 
* 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]
  
−
* 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]  
+
* K.J. Hsiao, J. Calder, A.O. Hero, "Multi-criteria Anomaly Detection using Pareto Depth Analysis," IEEE Journ on Neural Network Learning Systems, no. 6, vol. 27, pp. 1307-1321, Aug. 2015. [http://arxiv.org/pdf/1508.04887.pdf .pdf].
  
−
* 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]
+
* 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://web.eecs.umich.edu/~hero/Preprints/hsiao-tip2015_final.pdf .pdf]  
  
−
* 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.  
+
* Q. Liu, J. W. Fisher III, and A. T. Ihler, “Probabilistic variational bounds for graphical models,'' in Advances in Neural Information Processing Systems, pp.  1432--1440, 2015. [http://www.cs.dartmouth.edu/~qliu/PDF/NIPS15TRW.pdf .pdf].
 +
 
 +
* Q. Liu, A. Ihler, J. W. Fisher III, "Boosting Crowdsourcing With Expert Labels: Local vs. Global Effects", International Conference on Information Fusion (Fusion), 2015. [http://www.cs.dartmouth.edu/~qliu/PDF/FusionCrowd15.pdf]
 +
 
 +
* G. Marjanovic, M. Ulfarsson, A.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]
 +
 
 +
* 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]
 +
 
 +
* 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, [https://www.dropbox.com/s/9rdycyuf1x6vayw/paper_v1.pdf?dl=0]
 +
 
 +
* 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]
 +
 
 +
*  Gregory E. Newstadt, Beipeng Mu, Dennis Wei, Jonathan P. How, Alfred O. Hero III, "Importance-weighted adaptive search for multi-class targets," IEEE Trans on Signal Processing, vol. 63, no. 23, 6299-6314, Dec. 2015. [https://arxiv.org/abs/1409.7808.pdf .pdf].
  
 
* 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]
 
* 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]
  
 
* 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]
 
* 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]
 +
 +
* 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]
 +
 +
* G. Papachristoudis, J. W. Fisher III, "On the Complexity of Information Planning in Gaussian Models", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015. [http://people.csail.mit.edu/geopap/pubs/geopapaICASSP2015.pdf]
 +
 +
* G. Papachristoudis, J. W. Fisher III, "Efficient Information Planning in Gaussian MRFs", International Conference on Information Fusion (Fusion), 2015. [http://people.csail.mit.edu/geopapa/pubs/geopapaFUSION2015.pdf]
 +
 +
* G. Papachristoudis, J. W. Fisher III, "Adaptive Belief Propagation", In International Conference on Machine Learning (ICML), 2015. [http://jmlr.org/proceedings/papers/v37/papachristoudis15.pdf]
  
 
* 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]
 
* 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]
 +
 +
* J. Straub, J. Chang, O. Freifeld, J. W. Fisher III, "A Dirichlet Process Mixture Model for Spherical Data", International Conference on Artificial Intelligence and Statistics (AISTATS), 2015. [http://www.jstraub.de/download/straub2015dptgmm.pdf]
 +
 +
* J. Straub, T. Campbell, J. P. How, J. W. Fisher III, "Small-Variance Nonparametric Clustering on the Hypersphere", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [http://www.jstraub.de/download/straub2015ddpvmf.pdf]
 +
 +
* 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]
 +
 +
* 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]
 +
 +
* 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]
 +
 +
* D. Teng and E. Ertin, "Learning to Aggregate Information for Sequential Inferences,’’ submitted  May  2015. [http://ece.osu.edu/~ertine/Ertin2015b.pdf  .pdf]
  
 
*  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]
 
*  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]
Line 65: Line 169:
 
*  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]
 
*  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]
  
−
* 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.
+
*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]
 +
 
 +
*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]
 +
 
 +
* 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]
 +
 
 +
* Y. Yilmaz and A. O. Hero, "Multimodal factor analysis," Proc. of IEEE Workshop on Machine Learning and Signal Processing, Boston, 2015. [http://arxiv.org/pdf/1508.00408.pdf .pdf].  
  
 
* 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]
 
* 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]
Line 82: Line 192:
 
* 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]
 
* 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]
  
−
* 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).
+
* 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]
  
 
* 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]
 
* 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]

Latest revision as of 21:55, January 14, 2017

Publications since 2012


Publications reporting on research supported by this MURI

publications: links to publications resulting from this program.

2017


2016


2015


2014



2013


2012

Retrieved from "https://wiki.eecs.umich.edu/voimuri/index.php/Publications"
Personal tools
Namespaces
Variants
Actions
Navigation
Toolbox
EECS @ UM
Tools