Belief-propagation reconstruction for compressed sensing: Quantization vs. Gaussian approximation.
Mengke LianHenry D. PfisterPublished in: Allerton (2015)
Keyphrases
- compressed sensing
- belief propagation
- expectation propagation
- graphical models
- image reconstruction
- approximate inference
- message passing
- graph cuts
- markov random field
- free energy
- random projections
- stereo matching
- sparse representation
- natural images
- pairwise
- signal processing
- object recognition
- energy function
- gaussian distribution
- gaussian process
- maximum likelihood
- compressive sensing
- fourier domain
- probabilistic model