Machine Learning Scaled Belief Propagation for Short Codes.
Matthias HummertDirk WübbenArmin DekorsyPublished in: VTC Fall (2021)
Keyphrases
- belief propagation
- machine learning
- graphical models
- markov random field
- message passing
- graph cuts
- stereo matching
- approximate inference
- energy minimization
- markov networks
- decoding algorithm
- loopy belief propagation
- pairwise
- learning algorithm
- free energy
- computer vision
- fixed point
- belief networks
- statistical physics
- model selection
- energy function
- probabilistic model
- exact inference
- active learning
- post processing
- factor graphs
- higher order
- higher order cliques
- image processing
- inductive logic programming
- generative model
- stereo vision
- parameter estimation