Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
Paul SwobodaBogdan SavchynskyyJörg H. KappesChristoph SchnörrPublished in: CVPR (2014)
Keyphrases
- map inference
- graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- markov random field
- random variables
- probabilistic inference
- image labeling
- special case
- conditional random fields
- bayesian networks
- structure learning
- markov networks
- approximate inference
- belief networks
- graph structure
- search space
- semantic segmentation
- optimal solution
- segmentation method
- structured prediction
- cutting plane
- search algorithm