Presentations - Fusion and Inference in Surveillance Networks

Investigators M. Rabbat, "Gossip Algorithms for Distributed Signal Processing," Computer Science Seminar, University of New Orleans, August, 2010. M. Rabbat, "Selective Gossip," MITACS/CORS Annual Conference, Edmonton, Alberta, May, 2010. M. Rabbat, "Gossip Algorithms for Distributed Signal Processing," SYTACom Quebec-China-India Workshop on Communications, Montreal, May, 2010. M. Rabbat, "Decentralized Computation via Gossip: A Faster Algorithm and an Application," Toronto Networking Seminar, University of Toronto, April, 2010. M. Rabbat, "Decentralized Computation via Gossip: A Faster Algorithm and an Application," Instituto Superior Técnico, Technical University of Lisbon, Portugal, February, 2010. M. Rabbat, "Faster Distributed Averaging with Memory," Information Theory and Applications Workshop, University of California, San Diego, February, 2010. Mark Coates, "Gossip and Consensus: Reaching Agreement Faster," University of Ontario Institute of Technology, Oct. 2009. Michael Rabbat, "Fusion and Inference in Surveillance Networks," NATO Symposium on C3I for Crisis, Emergency and Consequence Management, May 2009. Mark Coates, "Accelerating the Convergence of Distributed Averaging Algorithms," University of New South Wales, Oct. 2008. Mark Coates, "Distributed Particle Filtering in Sensor Networks", MITACS Workshop on Fusion, Mining, and Security for Networks, June 2008. Michael Rabbat, "Decentralized Processing in Wireless Sensor Networks: What's All This Gossip About?", Keynote Speech, SYTACom Research Workshop, May, 2008. Mark Coates, "Fusion in Networks," MITACS Workshop on Fusion for Canadian Industry and Academia, Quebec City, Quebec, July 2007. T. Kirubarajan, "Fusion in Networks," MITACS Workshop on Fusion for Canadian Industry and Academia, Quebec City, Quebec, July 2007. Mark Coates, "Online Network Anomaly Detection," NetTomo Workshop, Adelaide, Australia, May 2007. Mark Coates, "Compressed Network Monitoring," MITACS Annual Meeting, Winnipeg, Manitoba, Canada, May 2007. Nando de Freitas, "Controlling Information Gathering Devices with Active Policy Learning Methods," MITACS Seminar Series, McGill University, Montreal, Quebec, April 2007. Arnaud Doucet, "The Expected Auxiliary Variable Method for Bayesian Computation", MITACS Seminar Series, McGill University, Montreal, Quebec, April 2007. Students Boris Oreshkin, “Approximation error analysis in the leader-node distributed particle filter”, MITACS Annual Conference, June 2009. Karim Abou-Moustafa, “Learning a global metric over local representations,” MITACS Annual Conference, June 2009. Nanthi Nadarajah, “Multitarget Tracking Using Probability Hypothesis Density Smoothing,” MITACS Annual Conference, June 2009. Matt Hoffman, "Using Inference Methods for Policy Learning in Continuous Domains," Canada-France Congress, June 2008. Boris Oreshkin, "Weak sense Lp error bounds for leader-node distributed particle filters," Canada-France Congress, June 2008. Deniz Ustebay, "Greedy Gossip with Eavesdropping," Canada-France Congress, June 2008. Boris Oreshkin, "Bootstrapping Particle Filters using Kernel Recursive Least Squares," IEEE Aerospace Conference, Mar. 2007.