Greedy Subspace Pursuit for Joint Sparse Recovery.
Kyung Su KimSae-Young ChungPublished in: CoRR (2016)
Keyphrases
- orthogonal matching pursuit
- high dimensional
- compressive sensing
- low rank representation
- regularized regression
- sparse representation
- compressed sensing
- image recovery
- low dimensional
- greedy algorithm
- search algorithm
- sparse data
- transform domain
- principal component analysis
- high dimensional data
- recovery algorithm
- lower dimensional
- rank minimization
- sparse approximation
- low rank
- dimensionality reduction
- sparse coding
- subspace methods
- input data
- basis vectors
- hill climbing
- data sets
- subspace clustering
- dynamic programming
- positive semi definite
- feature space
- feature selection