Visible to the public Biblio

Found 175 results

Filters: Author is Venkatesh Saligrama  [Clear All Filters]
2013
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.
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.
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.
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.
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.
Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama.  2013.  Near-Optimal Stochastic Threshold Group Testing. CoRR. abs/1304.6027
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
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.
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.
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.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2013.  Sensing-Aware Kernel SVM. CoRR. abs/1312.0512
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.
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.
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.
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, 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.
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.
2014
Jing Qian, Venkatesh Saligrama, Yuting Chen.  2014.  Anomalous cluster detection. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3854–3858.
Jing Qian, Venkatesh Saligrama, Yuting Chen.  2014.  Connected Sub-graph Detection. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:796–804.
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama.  2014.  Efficient Distributed Topic Modeling with Provable Guarantees. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:167–175.
Jing Qian, Venkatesh Saligrama.  2014.  Efficient Minimax Signal Detection on Graphs. Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. :2708–2716.
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  Fast margin-based cost-sensitive classification. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2952–2956.
Cem Aksoylar, Venkatesh Saligrama.  2014.  Information-theoretic bounds for adaptive sparse recovery. 2014 {IEEE} International Symposium on Information Theory, Honolulu, HI, USA, June 29 - July 4, 2014. :1311–1315.
Cem Aksoylar, Venkatesh Saligrama.  2014.  Information-Theoretic Characterization of Sparse Recovery. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:38–46.