Bayesian Spatial Classifiers Based on Tree Approximations to Markov Random Fields.
Chi-hsin WuPeter C. DoerschukPublished in: ICIP (2) (1994)
Keyphrases
- markov random field
- partition function
- higher order
- graph cuts
- belief propagation
- random fields
- parameter estimation
- image segmentation
- pairwise
- maximum a posteriori
- image restoration
- mrf model
- undirected graphical models
- potential functions
- energy function
- low level vision
- energy minimization
- image prior
- conditional random fields
- support vector
- feature selection
- posterior distribution
- potts model
- gauss markov random fields
- map inference
- iterative conditional
- textured images
- loopy belief propagation
- markov networks
- message passing
- map estimation
- prior distribution
- efficient inference
- maximum entropy
- posterior probability
- naive bayes
- maximum likelihood
- free energy
- probability density function
- bayesian networks