Visible to the public Biblio

Found 232 results

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2018-05-27
Venkatesh Saligrama, Zhu Chen.  2012.  Video anomaly detection based on local statistical aggregates. 2012 {IEEE} Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012. :2112–2119.
Peter Jones, Sanjoy K. Mitter, Venkatesh Saligrama.  2012.  Bayesian filtering without an observation model. Proceedings of the 51th {IEEE} Conference on Decision and Control, {CDC} 2012, December 10-13, 2012, Maui, HI, {USA}. :3496–3501.
Greg Castañón, Venkatesh Saligrama, André{-}Louis Caron, Pierre{-}Marc Jodoin.  2012.  Real-Time Activity Search of Surveillance Video. Ninth {IEEE} International Conference on Advanced Video and Signal-Based Surveillance, {AVSS} 2012, Beijing, China, September 18-21, 2012. :246–251.
Venkatesh Saligrama.  2012.  Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification. {IEEE} Trans. Information Theory. 58:6023–6036.
George K. Atia, Venkatesh Saligrama.  2012.  Boolean Compressed Sensing and Noisy Group Testing. {IEEE} Trans. Information Theory. 58:1880–1901.
Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama.  2012.  Graph-Constrained Group Testing. {IEEE} Trans. Information Theory. 58:248–262.
Pierre{-}Marc Jodoin, Venkatesh Saligrama, Janusz Konrad.  2012.  Behavior Subtraction. {IEEE} Trans. Image Processing. 21:4244–4255.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2013.  Sensing-Aware Kernel SVM. CoRR. abs/1312.0512
Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama.  2013.  Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR. abs/1310.7994
Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama.  2013.  Near-Optimal Stochastic Threshold Group Testing. CoRR. abs/1304.6027
Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama.  2013.  An impossibility result for high dimensional supervised learning. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama.  2013.  Stochastic threshold group testing. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
Cem Aksoylar, George K. Atia, Venkatesh Saligrama.  2013.  Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama.  2013.  Topic Discovery through Data Dependent and Random Projections. Proceedings of the 30th International Conference on Machine Learning, {ICML} 2013, Atlanta, GA, USA, 16-21 June 2013. 28:1202–1210.
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama.  2013.  A new geometric approach to latent topic modeling and discovery. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :5568–5572.
Cem Aksoylar, George K. Atia, Venkatesh Saligrama.  2013.  Compressive sensing bounds through a unifying framework for sparse models. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :5524–5528.
Yuting Chen, Jing Qian, Venkatesh Saligrama.  2013.  A new one-class SVM for anomaly detection. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :3567–3571.
Mohamed A. Elgharib, François Pitié, Anil C. Kokaram, Venkatesh Saligrama.  2013.  User-assisted reflection detection and feature point tracking. Conference on Visual Media Production 2013, {CVMP} '13, London, United Kingdom, November 6-7, 2013. :13:1–13:10.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2013.  Online local linear classification. 5th {IEEE} International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, {CAMSAP} 2013, St. Martin, France, December 15-18, 2013. :173–176.
Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama.  2013.  Sparse signal recovery under Poisson statistics. 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013, Allerton Park {&} Retreat Center, Monticello, IL, USA, October 2-4, 2013. :1450–1457.
Kirill Trapeznikov, Venkatesh Saligrama.  2013.  Supervised Sequential Classification Under Budget Constraints. Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013. 31:581–589.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2013.  Dynamic topic discovery through sequential projections. 2013 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3-6, 2013. :1100–1104.
Joseph Wang, Venkatesh Saligrama.  2013.  Locally-Linear Learning Machines (L3M). Asian Conference on Machine Learning, {ACML} 2013, Canberra, ACT, Australia, November 13-15, 2013. 29:451–466.
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón.  2013.  Multi-stage classifier design. Machine Learning. 92:479–502.
Venkatesh Saligrama, Ery Arias{-}Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli.  2013.  Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. J. Sel. Topics Signal Processing. 7:1–3.