Compressive sensing under matrix uncertainties: An Approximate Message Passing approach.
Jason T. ParkerVolkan CevherPhilip SchniterPublished in: ACSCC (2011)
Keyphrases
- message passing
- compressive sensing
- inference in graphical models
- belief propagation
- random projections
- distributed systems
- sparse representation
- compressive sampling
- signal processing
- image representation
- markov random field
- approximate inference
- graphical models
- singular value decomposition
- sum product algorithm
- graph cuts
- dimensionality reduction
- compressed sensing
- support vector
- feature space