Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
Paul SwobodaAlexander ShekhovtsovJörg Hendrik KappesChristoph SchnörrBogdan SavchynskyyPublished in: CoRR (2014)
Keyphrases
- map inference
- graphical models
- probabilistic model
- belief propagation
- probabilistic inference
- special case
- image labeling
- markov random field
- probabilistic graphical models
- conditional random fields
- random variables
- approximate inference
- markov networks
- graph structure
- bayesian networks
- belief networks
- structure learning
- message passing
- structured prediction
- semantic segmentation
- search space
- maximum a posteriori
- higher order
- pairwise