Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification.
Robert J. VanderbeiHan LiuLie WangKevin LinPublished in: CoRR (2013)
Keyphrases
- quadratic programming
- linear programming
- simplex method
- compressed sensing
- linear program
- image reconstruction
- sparse representation
- linear fractional
- random projections
- primal dual
- column generation
- np hard
- natural images
- signal processing
- worst case
- special case
- fourier domain
- orthogonal matching pursuit
- image restoration
- convergence rate
- computer vision
- least squares
- object recognition
- pattern recognition
- objective function
- multiscale
- feature selection