Pattern Recognition and Machine Learning, 2006. ,
Learning mixtures of Gaussians, 40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039), 1999. ,
DOI : 10.1109/SFFCS.1999.814639
Maximum Likelihood from Incomplete Data via the EM Algorithm, Journal of the Royal Statistical Society. Series B, 1977. ,
Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998. ,
DOI : 10.1109/ICCV.1998.710768
Gossip-based computation of aggregate information, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings., 2003. ,
DOI : 10.1109/SFCS.2003.1238221
Multi-Observations Newscast EM for Distributed Multi-Camera Tracking, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00598472
Distributed EM algorithms for density estimation and clustering in sensor networks, IEEE Transactions on Signal Processing, vol.51, issue.8, 2003. ,
DOI : 10.1109/TSP.2003.814623
Distributed intelligence for multi-camera visual surveillance, Pattern Recognition, vol.37, issue.4, 2004. ,
DOI : 10.1016/j.patcog.2003.09.017
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.6082
Efficient Greedy Learning of Gaussian Mixture Models, Neural Computation, vol.35, issue.1, 2003. ,
DOI : 10.1214/aos/1176344374
URL : https://hal.archives-ouvertes.fr/inria-00321487
A Sequential Bayesian Algorithm for Surveillance with Non-Overlapping Cameras, International Journal of Pattern Recognition and Artificial Intelligence, 2005. ,