83 search results - page 1 / 17 » Walk-Sums and Belief Propagation in Gaussian Graphical Model... |
85
Voted
JMLR
2006
14 years 9 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
14 years 9 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...
102
Voted
NIPS
2007
14 years 11 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
15 years 3 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
15 years 11 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...