Kernel reconstruction: An exact greedy algorithm for compressive sensing.
Belhassen BayarNidhal BouaynayaRoman ShterenbergPublished in: GlobalSIP (2014)
Keyphrases
- compressive sensing
- greedy algorithm
- signal reconstruction
- structured sparsity
- random projections
- sparse representation
- greedy algorithms
- compressive sampling
- worst case
- signal processing
- dynamic programming
- kernel function
- image representation
- support vector
- influence spread
- greedy strategy
- kernel methods
- objective function
- multiscale
- image classification
- np hard
- compressed sensing
- feature vectors
- high dimensional
- image segmentation
- computer vision