Approximate computations for binary Markov random fields and their use in Bayesian models.
Haakon Michael AustadHåkon TjelmelandPublished in: Stat. Comput. (2017)
Keyphrases
- markov random field
- bayesian models
- higher order
- graph cuts
- belief propagation
- bayesian model
- maximum a posteriori
- random fields
- parameter estimation
- image segmentation
- statistical models
- energy function
- pairwise
- energy minimization
- bayesian inference
- bayesian classifier
- conditional random fields
- neural network model
- bayesian framework
- message passing
- markov networks
- prior knowledge
- probabilistic model
- least squares
- bayesian methods
- semi supervised