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ICCV
2005
IEEE
15 years 11 months ago
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
David Demirdjian, Leonid Taycher, Gregory Shakhnar...
ICIP
2001
IEEE
15 years 11 months ago
An object based motion method for video coding
In order to improve efficiency of video coding, temporal redundancy between neighboring frames can be reduced. In MPEG-2, some frames, named interframes, are predicted using a mot...
Gilles Aubert, Michel Barlaud, Stéphanie Je...
NIPS
2008
14 years 11 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
ICML
2008
IEEE
15 years 10 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
LCN
2003
IEEE
15 years 3 months ago
Scheduling Resources in Programmable and Active Networks Based on Adaptive Estimations
In active and programmable networks, packet processing could be accomplished in the router within the data path. For efficient resource allocation in such networks, the packet sch...
Fariza Sabrina, Sanjay Jha