Neural network implementation of inference on binary Markov random fields with probability coding.
Zhaofei YuFeng ChenJianwu DongPublished in: Appl. Math. Comput. (2017)
Keyphrases
- markov random field
- neural network
- random fields
- map inference
- loopy belief propagation
- efficient inference
- graph cuts
- belief propagation
- maximum a posteriori
- piecewise constant functions
- parameter estimation
- energy function
- higher order
- energy minimization
- dual decomposition
- mrf model
- image restoration
- image segmentation
- low level vision
- potential functions
- partition function
- potts model
- message passing
- markov networks
- undirected graphical models
- parameter learning
- probability distribution
- map estimation
- probabilistic inference
- factor graphs
- pairwise
- conditional random fields
- high level vision
- higher order cliques
- image labeling
- graphical models
- first order logic
- iterative conditional
- computer vision