Cluster Expansions for the Deterministic Computation of Bayesian Estimators Based on Markov Random Fields.
Chi-hsin WuPeter C. DoerschukPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1995)
Keyphrases
- markov random field
- gauss markov random fields
- belief propagation
- dirichlet process mixture
- parameter estimation
- random fields
- graph cuts
- higher order
- mrf model
- energy minimization
- pairwise
- image restoration
- image segmentation
- maximum a posteriori
- textured images
- energy function
- low level vision
- potential functions
- conditional random fields
- image prior
- message passing
- bayesian estimation
- map estimation
- maximum likelihood
- loopy belief propagation
- markov networks
- partition function
- piecewise constant functions
- posterior distribution
- posterior probability
- bayesian networks
- maximum entropy
- non stationary
- efficient inference
- expectation maximization
- potts model
- similarity measure
- image processing