Speeding Up Gibbs Sampling in Probabilistic Optical Flow
In today’s machine learning research, probabilistic graphical models are used extensively to model complicated systems with uncertainty, to help understanding of the problems, and to help inference and predict unknown events. For inference tasks, exact inference methods such as junction tree algorit...
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| Format: | Others |
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Research Showcase @ CMU
2014
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| Online Access: | http://repository.cmu.edu/dissertations/481 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1481&context=dissertations |