132 search results - page 10 / 27 » Context-specific approximation in probabilistic inference |
147
click to vote
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
141
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
120
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
131
click to vote
NETWORKING
2004
15 years 4 months ago
2004
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
144
click to vote
ICLP
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...