Marginal Inference in Continuous Markov Random Fields Using Mixtures.
Yuanzhen GuoHao XiongNicholas RuozziPublished in: AAAI (2019)
Keyphrases
- markov random field
- random fields
- loopy belief propagation
- map inference
- belief propagation
- max product
- efficient inference
- piecewise constant functions
- mrf model
- dual decomposition
- graph cuts
- image restoration
- partition function
- higher order
- energy function
- energy minimization
- maximum a posteriori
- parameter estimation
- factor graphs
- marginal distributions
- potential functions
- image segmentation
- pairwise
- undirected graphical models
- conditional random fields
- message passing
- potts model
- probability distribution
- parameter learning
- graphical models
- markov networks
- low level vision problems
- low level vision
- maximum likelihood
- textured images
- map estimation
- probabilistic inference
- iterative conditional
- bayesian networks
- exact inference
- bayesian inference
- belief networks