Template Based Inference in Symmetric Relational Markov Random Fields
Ariel JaimovichOfer MeshiNir FriedmanPublished in: CoRR (2012)
Keyphrases
- markov random field
- random fields
- loopy belief propagation
- map inference
- efficient inference
- belief propagation
- partition function
- piecewise constant functions
- parameter estimation
- energy minimization
- dual decomposition
- graph cuts
- undirected graphical models
- image segmentation
- higher order
- maximum a posteriori
- conditional random fields
- graphical models
- message passing
- potential functions
- low level vision
- mrf model
- parameter learning
- pairwise
- image restoration
- energy function
- factor graphs
- low level vision problems
- potts model
- probabilistic inference
- exact inference
- higher order cliques
- markov networks
- iterative conditional
- structured prediction
- upper bound
- graphical structure
- bayesian networks
- high level vision
- generalized belief propagation
- discriminative random fields
- probabilistic model
- efficient inference algorithms
- closed form
- textured images
- bayesian inference