Feedback Message Passing for Inference in Gaussian Graphical Models.
Ying LiuVenkat ChandrasekaranAnimashree AnandkumarAlan S. WillskyPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- message passing
- gaussian graphical models
- belief propagation
- graphical models
- probabilistic inference
- factor graphs
- loopy belief propagation
- sum product algorithm
- exact inference
- inference in graphical models
- sum product
- max product
- approximate inference
- markov random field
- belief networks
- stereo matching
- junction tree
- map inference
- graph cuts
- bayesian networks
- distributed systems
- distributed shared memory
- generalized belief propagation
- influence diagrams
- structured prediction
- random variables
- energy function
- probabilistic model
- shared memory
- conditional random fields
- pairwise
- parameter learning
- linear models
- image matching
- dual decomposition
- parameter estimation
- maximum likelihood
- higher order