Sparse Bayesian learning using approximate message passing.
Maher Al-ShoukairiBhaskar RaoPublished in: ACSSC (2014)
Keyphrases
- message passing
- sparse bayesian learning
- inference in graphical models
- belief propagation
- distributed systems
- junction tree
- markov random field
- probabilistic inference
- graphical models
- approximate inference
- factor graphs
- regression model
- relevance vector machine
- sparse learning
- computer vision
- graph cuts
- loopy belief propagation
- image segmentation