Principled Parallel Mean-Field Inference for Discrete Random Fields.
Pierre BaquéTimur M. BagautdinovFrançois FleuretPascal FuaPublished in: CoRR (2015)
Keyphrases
- random fields
- markov random field
- partition function
- markov processes
- conditional random fields
- random field models
- parameter estimation
- loopy belief propagation
- pseudo likelihood
- markov networks
- maximum entropy
- gibbs sampler
- non stationary
- belief propagation
- higher order
- maximum a posteriori
- image segmentation
- probabilistic model
- belief networks
- bayesian inference
- energy function
- random field model
- pairwise
- graph cuts
- exact inference
- energy minimization
- graphical models
- maximum likelihood
- message passing
- approximate inference
- free energy
- hidden markov models
- prior knowledge
- image processing
- bayesian networks
- closed form