Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement.
Qinliang SuYik-Chung WuPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- belief propagation
- graphical models
- message passing
- approximate inference
- probabilistic graphical models
- markov random field
- markov networks
- graph cuts
- random variables
- probabilistic model
- loopy belief propagation
- structure learning
- stereo matching
- probabilistic inference
- exact inference
- belief networks
- factor graphs
- energy minimization
- distributed systems
- bayesian networks
- conditional random fields
- high quality
- conditional independence
- energy function
- importance sampling
- maximum likelihood
- free energy
- pairwise