Cooperative multi-agent inference over grid structured Markov random fields.
Ryan K. WilliamsGaurav S. SukhatmePublished in: IROS (2011)
Keyphrases
- markov random field
- cooperative multi agent
- loopy belief propagation
- random fields
- map inference
- efficient inference
- max margin learning
- piecewise constant functions
- belief propagation
- pairwise
- higher order
- partition function
- energy function
- graph cuts
- mrf model
- conditional random fields
- dual decomposition
- energy minimization
- maximum a posteriori
- parameter estimation
- parameter learning
- image segmentation
- probabilistic inference
- message passing
- factor graphs
- graphical models
- potts model
- image restoration
- undirected graphical models
- exact inference
- logic programming
- textured images
- belief networks
- potential functions
- markov networks
- reinforcement learning
- structured prediction
- graphical structure
- machine learning
- iterative conditional
- bayesian networks
- low level vision
- information extraction
- maximum entropy
- free energy
- discriminative random fields
- higher order cliques
- dynamic bayesian networks
- bayesian inference