Maximum likelihood scale estimation for a class of Markov random fields.
Charles A. BoumanKen D. SauerPublished in: ICASSP (5) (1994)
Keyphrases
- markov random field
- maximum likelihood
- parameter estimation
- map estimation
- maximum a posteriori
- potential functions
- higher order
- graph cuts
- markov networks
- energy minimization
- maximum likelihood estimation
- energy function
- mrf model
- pairwise
- random fields
- belief propagation
- maximum a posteriori probability
- image restoration
- em algorithm
- parameter learning
- potts model
- low level vision
- machine learning
- partition function
- image segmentation
- label field
- iterative conditional
- posterior distribution
- map inference
- conditional random fields
- gauss markov random fields
- textured images
- loopy belief propagation
- gaussian distribution
- efficient inference
- message passing
- bayesian framework
- model selection
- expectation maximization