Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
Stephen H. BachBert HuangBen LondonLise GetoorPublished in: CoRR (2013)
Keyphrases
- structured prediction
- markov random field
- conditional random fields
- markov networks
- convex optimization
- belief propagation
- potential functions
- exact inference
- approximate inference
- maximum margin
- loss function
- random fields
- pairwise
- higher order
- graph cuts
- parameter estimation
- maximum a posteriori
- image restoration
- energy function
- message passing
- graphical models
- image segmentation
- maximum entropy
- efficient learning
- latent variables
- convex hull
- belief networks
- maximum likelihood
- high order
- first order logic
- multi class
- dynamic bayesian networks
- information extraction
- bayesian networks
- machine learning