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.