Structured learning of sum-of-submodular higher order energy functions.
Alexander FixThorsten JoachimsSam ParkRamin ZabihPublished in: CoRR (2013)
Keyphrases
- structured learning
- higher order
- energy function
- energy minimization
- markov random field
- conditional random fields
- submodular functions
- graph cuts
- high order
- belief propagation
- objective function
- pairwise
- maximum margin
- structured prediction
- segmentation method
- greedy algorithm
- parameter estimation
- image segmentation
- active contours
- maximum a posteriori
- learning models
- level set
- markov networks
- training process
- message passing
- global features
- approximate inference
- machine learning
- facility location problem
- min cut
- segmentation algorithm