Constrained Approximate Maximum Entropy Learning of Markov Random Fields.
Varun GanapathiDavid VickreyJohn C. DuchiDaphne KollerPublished in: UAI (2008)
Keyphrases
- maximum entropy
- markov random field
- random fields
- potential functions
- conditional random fields
- learning algorithm
- image segmentation
- undirected graphical models
- graph cuts
- energy minimization
- maximum entropy principle
- parameter learning
- markov models
- probabilistic model
- prior knowledge
- energy function
- image restoration
- belief propagation
- parameter estimation
- maximum likelihood
- message passing
- graphical models
- hidden markov models
- similarity measure
- information retrieval