Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models.
George PapandreouAlan L. YuillePublished in: ICCV (2011)
Keyphrases
- random fields
- discrete optimization
- markov random field
- maximum entropy
- random field models
- parameter estimation
- random field model
- probabilistic model
- combinatorial optimization problems
- non stationary
- conditional random fields
- gibbs sampler
- maximum a posteriori
- autoregressive
- energy minimization
- genetic algorithm
- combinatorial optimization
- prior knowledge
- image segmentation