83 search results - page 8 / 17 » Walk-Sums and Belief Propagation in Gaussian Graphical Model... |
NIPS
2004
14 years 11 months ago
2004
Belief propagation (BP) is an increasingly popular method of performing approximate inference on arbitrary graphical models. At times, even further approximations are required, wh...
ICPR
2008
IEEE
15 years 3 months ago
2008
IEEE
In this paper we present a method of combining stereo and shape-from-shading information, taking account of the local reliability of each shape estimate. Local estimates of dispar...
AAAI
2010
14 years 11 months ago
2010
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
NIPS
2001
14 years 11 months ago
2001
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...