Welcome to DAMAS laboratory's website
DAMAS is a research group supervised by Dr. Brahim Chaib-draa, professor at the Computer Science and Software Engineering Department of Laval University. Its research interests are essentially:
For additional information, please contact Pr. B. Chaib-draa
A KNN Based Kalman Filter Gaussian Process Regression.
Yali Wang and Brahim Chaib-draa, In International Joint Conference on Artificial Intelligence (IJCAI), 2013 (bib).
Repeated games for multiagent systems: a survey.
Andriy Burkov, Brahim Chaib-draa and , In The Knowledge Engineering Review, 1--30, 2013, (pdf) (bib).
Building adaptive dialogue systems via Bayes-adaptive POMDPs.
Shaowei Png, Joelle Pineau, Brahim Chaib-draa and , In IEEE Journal of Selected Topics in Signal Processing, 917--927, 2012, (pdf) (bib).
|A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling|
Summary : Particle Filters have grown to be a standard framework for visual tracking. This paper proposes a robust particle tracker based on Markov Chain Monte Carlo method, aiming at solving the thorny problems in visual tracking induced by object appearance change, occlusion, background clutter, and abrupt [...]