305 search results - page 4 / 61 » Rate-Distortion via Markov Chain Monte Carlo |
CVPR
2009
IEEE
14 years 4 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
NIPS
2003
13 years 7 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
PAMI
2002
13 years 5 months ago
2002
ACCV
2006
Springer
13 years 11 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
STOC
1997
ACM
13 years 10 months ago
1997
ACM
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...