Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing.
Kazuyuki TanakaPublished in: CIMCA/IAWTIC (2005)
Keyphrases
- statistical learning
- loopy belief propagation
- image processing
- belief propagation
- markov random field
- graphical models
- approximate inference
- graph cuts
- supervised learning
- information theory
- model selection
- probabilistic model
- free energy
- conditional random fields
- message passing
- energy minimization
- probabilistic inference
- semi supervised learning
- machine learning
- image segmentation
- belief networks
- text mining
- bayesian networks
- feature extraction
- information theoretic
- em algorithm
- exact inference
- computer vision
- cross validation
- probability distribution
- gaussian process