Publications

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(Publications reporting on research supported by this MURI)
(Publications reporting on research supported by this MURI)
 
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* 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].
 
* 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].
  
'''''2016'''''
 
  
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'''''2016'''''
  
 
* 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].
 
* 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].
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* 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].
 
* 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].
  
* K. Greenewald, E. Zelnio, A.O. Hero III, "Kronecker PCA Based Robust SAR STAP," IEEE Trans on Aerospace and Electronic Systems (AES), 2016. [http://arxiv.org/pdf/1502:07481 .pdf].
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* 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 and A.O. Hero, "Kronecker STAP and SAR GMTI," Proceedings of SPIE Symposium on Defense, Sensing and Security April 2016. [https://arxiv.org/pdf/1604.03622.pdf .pdf].
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* 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].
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*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].
 
*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].
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* 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].
 
* 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].
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*  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].
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* 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].
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* 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].
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* 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].
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* 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].
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* 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].
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* 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].
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* 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].
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* 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].
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* S. Soatto, “Visual inertial semantic scene representation,'' UCLA TR CSD160005, May 20, 2016. [https://arxiv.org/pdf/1606.03968v1.pdf .pdf].
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* 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].
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* 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].
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* 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].
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*  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].
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* 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].
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* 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].
 
* 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].
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* 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]
 
* 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]
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* 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]
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* 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]
 
* 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]
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* 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]  
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* 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]  
 
* 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]  
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* 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]
 
* 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]

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

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