Inference and mutual information on random factor graphs.
Amin Coja-OghlanMax Hahn-KlimrothPhilipp LoickNoëla MüllerKonstantinos PanagiotouMatija PaschPublished in: CoRR (2020)
Keyphrases
- factor graphs
- mutual information
- inference problems
- message passing
- graphical models
- belief propagation
- approximate inference
- exact inference
- information theoretic
- latent variables
- probabilistic inference
- similarity measure
- image registration
- probabilistic graphical models
- undirected graphical models
- feature selection
- markov networks
- parameter learning
- markov random field
- energy function
- graph cuts
- probabilistic model
- bayesian networks
- machine learning
- conditional random fields
- information theory
- random fields
- cost model
- conditional independence
- model construction
- image processing