2914 search results - page 154 / 583 » Learning and Inference with Constraints |
180
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AAAI
2007
15 years 8 months ago
2007
Consistencies are properties of Constraint Networks (CNs) that can be exploited in order to make inferences. When a significant amount of such inferences can be performed, CNs ar...
190
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
We address the problem of inferring homogeneous reflectance (BRDF) from a single image of a known shape in an unknown real-world lighting environment. With appropriate representati...
150
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NIPS
2004
15 years 7 months ago
2004
We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraint...
170
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CIMCA
2005
IEEE
16 years 2 days ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
165
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FLAIRS
2008
15 years 8 months ago
2008
This paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships....