Biblio
Filters: Author is Venkatesh Saligrama [Clear All Filters]
.
2013. Sensing-Aware Kernel SVM. CoRR. abs/1312.0512
.
2013. Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR. abs/1310.7994
.
2013. Near-Optimal Stochastic Threshold Group Testing. CoRR. abs/1304.6027
.
2013. An impossibility result for high dimensional supervised learning. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
.
2013. Stochastic threshold group testing. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
.
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.
.
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.
.
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.
.
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.
.
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.
.
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.
.
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.
.
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.
.
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.
.
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.
.
2013. Locally-Linear Learning Machines (L3M). Asian Conference on Machine Learning, {ACML} 2013, Canberra, ACT, Australia, November 13-15, 2013. 29:451–466.
.
2013. Multi-stage classifier design. Machine Learning. 92:479–502.
.
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.
.
2014. A Topic Modeling Approach to Ranking. CoRR. abs/1412.3705
.
2014. Non-Adaptive Group Testing with Inhibitors. CoRR. abs/1410.8440
.
2014. RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR. abs/1406.4445
.
2014. Person Re-identification via Structured Prediction. CoRR. abs/1406.4444
.
2014. Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes. CoRR. abs/1405.0234
.
2014. Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. CoRR. abs/1403.3109
.
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.