339 search results - page 12 / 68 » Approximate Inference in Probabilistic Graphical Models with... |
NIPS
2004
14 years 11 months ago
2004
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
118
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IWCM
2004
Springer
15 years 3 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
110
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
ISMIR
2005
Springer
15 years 3 months ago
2005
Springer
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...