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» Join-Graph Propagation Algorithms
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NIPS
2003
13 years 10 months ago
Linear Response for Approximate Inference
Belief propagation on cyclic graphs is an efficient algorithm for computing approximate marginal probability distributions over single nodes and neighboring nodes in the graph. I...
Max Welling, Yee Whye Teh
CIMCA
2005
IEEE
14 years 2 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
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 ...
Kazuyuki Tanaka
CSCLP
2005
Springer
14 years 2 months ago
Among, Common and Disjoint Constraints
Abstract. Among, Common and Disjoint are global constraints useful in modelling problems involving resources. We study a number of variations of these constraints over integer and ...
Christian Bessière, Emmanuel Hebrard, Brahi...
ICCV
2003
IEEE
14 years 10 months ago
Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
Marshall F. Tappen, William T. Freeman
UAI
2003
13 years 10 months ago
A Simple Insight into Iterative Belief Propagation's Success
In non-ergodic belief networks the posterior belief of many queries given evidence may become zero. The paper shows that when belief propagation is applied iteratively over arbitr...
Rina Dechter, Robert Mateescu