Google Tech Talks
September 9, 2008
ABSTRACT
Graphical Mod…
(more)
Google Tech Talks
September 9, 2008
ABSTRACT
Graphical Models, such as Markov random fields, are a powerful methodology for modeling probability distributions over large numbers of variables. These models, in principle, offer a natural approach to learning and inference of many computer vision problems, such as stereo, denoising, segmentation, and image labeling. However, graphical models face severe computational problems when dealing with images, due to the fact that the uncertainty structur
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