Modelling object perception in cortex: Hierarchical Bayesian networks and belief propagation.
Salvador Dura-BernalThomas WennekersSusan L. DenhamPublished in: CISS (2011)
Keyphrases
- belief propagation
- graphical models
- bayesian networks
- approximate inference
- message passing
- markov networks
- markov random field
- graph cuts
- exact inference
- structure learning
- stereo matching
- conditional independence
- loopy belief propagation
- random variables
- probabilistic model
- probabilistic inference
- energy minimization
- factor graphs
- fixed point
- d objects
- probabilistic graphical models
- pairwise
- free energy
- posterior probability
- hidden variables
- energy function
- dynamic bayesian networks
- conditional random fields
- junction tree
- distributed systems
- posterior distribution
- three dimensional
- parameter learning
- dynamic programming
- lower bound
- max product