Visible to the public Biblio

Found 175 results

Filters: Author is Venkatesh Saligrama  [Clear All Filters]
Conference Paper
Erhan Baki Ermis, Venkatesh Saligrama, Pierre{-}Marc Jodoin, Janusz Konrad.  2008.  Abnormal behavior detection and behavior matching for networked cameras. 2008 Second {ACM/IEEE} International Conference on Distributed Smart Cameras, Stanford, CA, USA, September 7-11, 2008. :1–10.
Yannick Benezeth, Pierre{-}Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger.  2009.  Abnormal events detection based on spatio-temporal co-occurences. 2009 {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {(CVPR} 2009), 20-25 June 2009, Miami, Florida, {USA}. :2458–2465.
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón.  2011.  Active Boosted Learning (ActBoost). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2011, Fort Lauderdale, USA, April 11-13, 2011. 15:743–751.
Erhan Baki Ermis, Venkatesh Saligrama.  2005.  Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. 2005 {IEEE} International Conference on Acoustics, Speech, and Signal Processing, {ICASSP} '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005. :1045–1048.
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.
Manqi Zhao, Venkatesh Saligrama.  2009.  Anomaly Detection with Score functions based on Nearest Neighbor Graphs. Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada.. :2250–2258.
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.
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko, Remi Munos.  2015.  Cheap Bandits. Proceedings of the 32nd International Conference on Machine Learning. 37:2133–2142.
Delaram Motamedvaziri, Venkatesh Saligrama, David A. Castañón.  2012.  A combined approach to multi-label multi-task learning. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :616–619.
Manqi Zhao, Venkatesh Saligrama.  2010.  On compressed blind de-convolution of filtered sparse processes. Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing, {ICASSP} 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, {USA}. :4038–4041.
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.
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.
Manjesh Kumar Hanawal, Venkatesh Saligrama.  2015.  Cost effective algorithms for spectral bandits. 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park {&} Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015. :1323–1329.
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.
George K. Atia, Masoud Sharif, Venkatesh Saligrama.  2006.  Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels. Proceedings of the Global Telecommunications Conference, 2006. {GLOBECOM} '06, San Francisco, CA, USA, 27 November - 1 December 2006.
Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama.  2015.  Efficient Activity Retrieval through Semantic Graph Queries. Proceedings of the 23rd Annual {ACM} Conference on Multimedia Conference, {MM} '15, Brisbane, Australia, October 26 - 30, 2015. :391–400.
Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama.  2016.  Efficient algorithms for linear polyhedral bandits. 2016 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2016, Shanghai, China, March 20-25, 2016. :4796–4800.
Manjesh Kumar Hanawal, Venkatesh Saligrama.  2015.  Efficient detection and localization on graph structured data. 2015 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. :5590–5594.
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.
Onur Savas, Murat Alanyali, Venkatesh Saligrama.  2006.  Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence. Distributed Computing in Sensor Systems, Second {IEEE} International Conference, {DCOSS} 2006, San Francisco, CA, USA, June 18-20, 2006, Proceedings. 4026:252–265.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
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.
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2016.  Efficient Training of Very Deep Neural Networks for Supervised Hashing. 2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016. :1487–1495.