598 search results - page 54 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
NIPS
2000
14 years 11 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
SBIA
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
103
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NIPS
2008
14 years 11 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
81
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JMLR
2010
14 years 4 months ago
2010
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...