346 search results - page 4 / 70 » Learning by Propagability |
NIPS
1997
15 years 1 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
119
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SOCIALCOM
2010
14 years 6 months ago
2010
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
103
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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
109
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper d...
97
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CPAIOR
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...