Statistical physics and approximate message-passing algorithms for sparse linear estimation problems in signal processing and coding theory.
Jean BarbierPublished in: CoRR (2015)
Keyphrases
- message passing
- generalized belief propagation
- estimation problems
- statistical physics
- belief propagation
- approximate inference
- learning algorithm
- high dimensional
- graphical models
- probabilistic inference
- free energy
- three dimensional
- image processing
- parameter estimation
- markov random field
- similarity measure
- machine learning