Greedy subspace pursuit for joint sparse recovery.
Kyung-Su KimSae-Young ChungPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- orthogonal matching pursuit
- high dimensional
- sparse representation
- compressed sensing
- search algorithm
- regularized regression
- low rank representation
- greedy algorithm
- low dimensional
- compressive sensing
- sparse data
- dimensionality reduction
- sparse approximation
- feature space
- image recovery
- low rank
- basis vectors
- rank minimization
- joint optimization
- transform domain
- clustering high dimensional data
- subspace learning
- random projections
- linear subspace
- lower dimensional
- feature selection
- neural network
- subspace clustering
- high dimensional data
- greedy algorithms
- linear combination
- principal component analysis
- recovery algorithm
- dynamic programming
- search space
- positive semi definite
- objective function
- decision trees
- kernel based nonlinear