83 search results - page 1 / 17 » Walk-Sums and Belief Propagation in Gaussian Graphical Model... |
JMLR
2006
13 years 4 months ago
2006
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
TSP
2008
13 years 4 months ago
2008
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
NIPS
2007
13 years 6 months ago
2007
We consider the estimation problem in Gaussian graphical models with arbitrary structure. We analyze the Embedded Trees algorithm, which solves a sequence of problems on tractable...
CIMCA
2005
IEEE
13 years 10 months 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 ...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...