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