On Information-Theoretic Characterizations of Markov Random Fields and Subfields.
Raymond W. YeungAli Al-BashabshehChao ChenQi ChenPierre MoulinPublished in: IEEE Trans. Inf. Theory (2019)
Keyphrases
- information theoretic
- markov random field
- mutual information
- information theory
- higher order
- belief propagation
- graph cuts
- theoretic framework
- mrf model
- energy minimization
- pairwise
- parameter estimation
- random fields
- information theoretic measures
- image segmentation
- maximum a posteriori
- energy function
- image restoration
- log likelihood
- information bottleneck
- jensen shannon divergence
- conditional random fields
- potential functions
- kullback leibler divergence
- low level vision
- markov networks
- image intensity
- competitive learning
- pattern recognition
- feature selection
- piecewise constant functions