346 search results - page 4 / 70 » Learning by Propagability |
NIPS
1997
13 years 9 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...
SOCIALCOM
2010
13 years 2 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...
CVPR
2005
IEEE
14 years 9 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...
ICASSP
2011
IEEE
12 years 11 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...
CPAIOR
2009
Springer
14 years 2 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...