MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves.
Jörg Hendrik KappesThorsten BeierChristoph SchnörrPublished in: ECCV Workshops (2) (2014)
Keyphrases
- map inference
- graphical models
- higher order
- markov random field
- conditional random fields
- belief propagation
- random variables
- probabilistic graphical models
- probabilistic model
- probabilistic inference
- approximate inference
- bayesian networks
- structure learning
- image labeling
- natural images
- pairwise
- markov networks
- belief networks
- maximum a posteriori
- graph structure
- message passing
- cutting plane
- parameter estimation
- energy function
- continuous variables
- maximum margin
- statistical relational learning
- lower bound
- multiscale