Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications.
Linus HamiltonFrederic KoehlerAnkur MoitraPublished in: NIPS (2017)
Keyphrases
- information theoretic
- markov random field
- information theory
- mutual information
- theoretic framework
- graph cuts
- energy minimization
- belief propagation
- min cut
- random fields
- higher order
- parameter estimation
- image restoration
- information bottleneck
- mrf model
- image segmentation
- information theoretic measures
- jensen shannon divergence
- energy function
- maximum a posteriori
- log likelihood
- pairwise
- potential functions
- conditional random fields
- low level vision
- competitive learning
- markov networks
- kullback leibler divergence
- image classification
- pattern recognition