Continuous Markov Random Field Optimization Using Fusion Move Driven Markov Chain Monte Carlo Technique.
Wonsik KimKyoung Mu LeePublished in: ICPR (2010)
Keyphrases
- markov random field
- markov chain monte carlo
- parameter estimation
- loopy belief propagation
- posterior distribution
- maximum a posteriori
- mrf model
- belief propagation
- approximate inference
- graph cuts
- image segmentation
- pairwise
- importance sampling
- markov chain
- higher order
- dual decomposition
- energy minimization
- random fields
- energy function
- conditional random fields
- prior model
- bayesian inference
- generative model
- message passing
- posterior probability
- hyperparameters
- particle filter
- maximum likelihood
- image sequences
- machine learning