On the Estimation of Markov Random Field Parameters.
Carlos F. BorgesPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1999)
Keyphrases
- markov random field
- parameter estimation
- maximum a posteriori probability
- map estimation
- random fields
- label field
- mrf model
- mrf models
- maximum likelihood estimation
- graph cuts
- partition function
- pairwise
- higher order
- energy function
- maximum a posteriori
- belief propagation
- image restoration
- potential functions
- energy minimization
- maximum likelihood
- image segmentation
- prior model
- textured images
- message passing
- approximate inference
- posterior distribution
- em algorithm
- bayesian estimation
- neighboring pixels
- expectation maximization
- generalized gaussian
- maximum a posterior
- conditional random fields
- texture model
- gauss markov random fields
- segmentation of mr brain images
- machine learning
- loopy belief propagation
- hyperparameters
- bayesian framework
- least squares