Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization.
Kiryung LeeYihong WuYoram BreslerPublished in: IEEE Trans. Inf. Theory (2018)
Keyphrases
- compressed sensing
- low rank matrices
- image reconstruction
- random projections
- sparse representation
- low rank
- natural images
- measurement matrix
- matrix completion
- singular value decomposition
- sparse coding
- matrix factorization
- signal processing
- missing entries
- document clustering
- data sets
- linear combination
- super resolution
- denoising