215 search results - page 22 / 43 » Cuts in Bayesian graphical models |
117
click to vote
CVPR
2008
IEEE
16 years 24 days ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
ICIP
2008
IEEE
16 years 16 days ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
FUZZIEEE
2007
IEEE
15 years 5 months ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
103
click to vote
CIDM
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
87
Voted
UAI
1996
15 years 3 days ago
1996
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...