ML parameter estimation for Markov random fields with applications to Bayesian tomography.
Suhail S. SaquibCharles A. BoumanKen D. SauerPublished in: IEEE Trans. Image Process. (1998)
Keyphrases
- parameter estimation
- markov random field
- maximum likelihood
- gauss markov random fields
- posterior distribution
- random fields
- maximum a posteriori
- graph cuts
- image reconstruction
- belief propagation
- bayesian model selection
- mrf model
- em algorithm
- markov chain monte carlo
- higher order
- energy function
- image segmentation
- maximum likelihood estimation
- image restoration
- markov networks
- approximate inference
- parameter estimation algorithm
- pairwise
- markov fields
- expectation maximization
- conditional random fields
- partition function
- image processing
- least squares
- posterior probability
- message passing
- model selection
- structure learning
- machine learning
- parameter learning
- stereo matching