Information theoretic bounds for compressed sensing S Aeron, V Saligrama, M Zhao IEEE Transactions on Information Theory 56 (10), 5111-5130, 2010 | 206 | 2010 |
Anomaly detection with score functions based on nearest neighbor graphs M Zhao, V Saligrama Advances in neural information processing systems 22, 2009 | 161 | 2009 |
Local anomaly detection V Saligrama, M Zhao Artificial Intelligence and Statistics, 969-983, 2012 | 44 | 2012 |
Thresholded basis pursuit: LP algorithm for order-wise optimal support recovery for sparse and approximately sparse signals from noisy random measurements V Saligrama, M Zhao IEEE Transactions on Information Theory 57 (3), 1567-1586, 2011 | 31 | 2011 |
Information theoretic bounds to sensing capacity of sensor networks under fixed SNR S Aeron, M Zhao, V Saligrama 2007 IEEE Information Theory Workshop, 84-89, 2007 | 16 | 2007 |
On sensing capacity of sensor networks for a class of linear observation models S Aeron, M Zhao, V Saligrama 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 388-392, 2007 | 15 | 2007 |
On compressed blind de-convolution of filtered sparse processes M Zhao, V Saligrama 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 14 | 2010 |
On sensing capacity of sensor networks for the class of linear observation, fixed SNR models S Aeron, M Zhao, V Saligrama arXiv preprint arXiv:0704.3434, 2007 | 13 | 2007 |
Fundamental limits on sensing capacity for sensor networks and compressed sensing S Aeron, M Zhao, V Saligrama arXiv preprint arXiv:0804.3439, 2008 | 12 | 2008 |
Fundamental tradeoffs between sparsity, sensing diversity and sensing capacity S Aeron, M Zhao, V Saligrama 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 295-299, 2006 | 11 | 2006 |
Thresholded basis pursuit: Quantizing linear programming solutions for optimal support recovery and approximation in compressed sensing V Saligrama, M Zhao arXiv preprint arXiv:0809.4883, 2008 | 9 | 2008 |
Thresholded basis pursuit: Support recovery for sparse and approximately sparse signals V Saligrama, M Zhao arXiv preprint arXiv:0809.4883, 2008 | 7 | 2008 |
Sensing capacity and compressed sensing: Bounds and algorithms M Zhao, S Aeron, V Saligrama 45th Annual Allerton Conference on Communication, Control and Computing …, 2007 | 7 | 2007 |
Algorithms and bounds for sensing capacity and compressed sensing with applications to learning graphical models S Aeron, M Zhao, V Saligrama 2008 Information Theory and Applications Workshop, 303-309, 2008 | 6 | 2008 |
On Universal Distributed Estimation of Noisy Fields with One–bit Sensors Y Wang, N Ma, M Zhao, P Ishwar, V Saligrama Proc. Allerton Conference on Communications, Control, and Computing, 2006 | 6 | 2006 |
Outlier detection via localized p-value estimation M Zhao, V Saligrama 2009 47th Annual Allerton Conference on Communication, Control, and …, 2009 | 5 | 2009 |
Compressed sensing of autoregressive processes V Saligrama, M Zhao Wavelets XIII 7446, 66-73, 2009 | 4 | 2009 |
Graph construction for learning with unbalanced data J Qian, V Saligrama, M Zhao arXiv preprint arXiv:1112.2319, 2011 | 3 | 2011 |
Thresholded basis pursuit: An LP algorithm for achieving optimal support recovery for sparse and approximately sparse signals from noisy random measurements V Saligrama, M Zhao arXiv preprint arXiv:0809.4883, 2008 | 3 | 2008 |
Graph-based learning with unbalanced clusters J Qian, V Saligrama, M Zhao arXiv preprint arXiv:1205.1496, 2012 | 2 | 2012 |