Learning in Deep Factor Graphs with Gaussian Belief Propagation.
Seth NabarroMark van der WilkAndrew J. DavisonPublished in: CoRR (2023)
Keyphrases
- belief propagation
- factor graphs
- graphical models
- message passing
- approximate inference
- markov random field
- graph cuts
- stereo matching
- learning algorithm
- probabilistic graphical models
- parameter learning
- reinforcement learning
- markov networks
- maximum likelihood
- pairwise
- energy function
- statistical learning
- exact inference
- d objects
- lower bound
- probabilistic inference
- bayesian networks
- structured prediction
- image processing