On introducing damping to Bayes optimal approximate message passing for compressed sensing.
Kazushi MimuraPublished in: APSIPA (2015)
Keyphrases
- lower bound
- message passing
- compressed sensing
- bayes optimal
- inference in graphical models
- image reconstruction
- learning curve
- belief propagation
- random projections
- natural images
- sparse representation
- distributed systems
- version space
- markov random field
- np hard
- graphical models
- approximate inference
- generalization error
- higher order
- probabilistic model
- graph cuts
- dimensionality reduction
- image registration
- learning curves