113 search results - page 20 / 23 » Lifted Probabilistic Inference for Asymmetric Graphical Mode... |
100
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SUM
2009
Springer
15 years 5 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
ICIP
2008
IEEE
16 years 5 days ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
109
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CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
AI
2008
Springer
14 years 9 months ago
2008
Springer
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
PACT
2009
Springer
15 years 3 months ago
2009
Springer
In this paper, we design and implement an efficient technique for parallel evidence propagation on state-of-the-art multicore processor systems. Evidence propagation is a major ste...