Loop Corrections for Approximate Inference on Factor Graphs.
Joris M. MooijHilbert J. KappenPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- factor graphs
- approximate inference
- graphical models
- belief propagation
- exact inference
- message passing
- probabilistic inference
- parameter estimation
- latent variables
- variational methods
- gaussian process
- bayesian networks
- probabilistic graphical models
- conditional random fields
- dynamic bayesian networks
- structured prediction
- markov random field
- probabilistic model
- markov networks
- structure learning
- image segmentation
- machine learning
- stereo matching
- active contours
- parameter learning
- graph cuts
- multi view
- distributed systems
- pairwise
- co occurrence