Effects of approximate representation in belief propagation for inference in wireless sensor networks.
Yao LiLara DolecekPublished in: ACSSC (2013)
Keyphrases
- belief propagation
- graphical models
- loopy belief propagation
- message passing
- inference in graphical models
- wireless sensor networks
- factor graphs
- approximate inference
- exact inference
- markov random field
- graph cuts
- max product
- generalized belief propagation
- probabilistic inference
- expectation propagation
- fixed point
- dynamic bayesian networks
- stereo matching
- belief networks
- sum product
- junction tree
- markov networks
- pairwise
- higher order cliques
- energy function
- probabilistic graphical models
- energy minimization
- conditional random fields
- partition function
- free energy
- probabilistic model
- bayesian inference
- bayesian networks
- marginal probabilities
- gibbs sampling
- nonparametric belief propagation
- image processing
- image segmentation