Modeling Aspects of Theory of Mind with Markov Random Fields.
Jesse ButterfieldOdest Chadwicke JenkinsDavid M. SobelJonas SchwertfegerPublished in: Int. J. Soc. Robotics (2009)
Keyphrases
- markov random field
- graph cuts
- belief propagation
- maximum a posteriori
- parameter estimation
- higher order
- energy function
- random fields
- image restoration
- energy minimization
- potential functions
- pairwise
- low level vision
- mrf model
- message passing
- mrf models
- image segmentation
- conditional random fields
- map estimation
- loopy belief propagation
- potts model
- iterative conditional
- efficient inference
- markov networks
- textured images
- probabilistic inference
- bayesian framework
- partition function
- upper bound