A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields.
Mathieu BonneauNathalie PeyrardRégis SabbadinPublished in: ECAI (2012)
Keyphrases
- markov random field
- graph cuts
- belief propagation
- higher order
- random fields
- image segmentation
- message passing
- maximum a posteriori
- image restoration
- parameter estimation
- pairwise
- energy function
- markov networks
- mrf model
- potts model
- potential functions
- machine learning
- piecewise constant functions
- energy minimization
- conditional random fields
- object recognition
- multiscale