Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation.
Linxiao YangJun FangHongbin LiBing ZengPublished in: IEEE Signal Process. Lett. (2016)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- sparsity constraints
- robust principal component analysis
- group sparsity
- sparse linear
- low rank representation
- missing data
- regularized regression
- matrix factorization
- kernel matrices
- singular value decomposition
- convex optimization
- matrix completion
- matrix decomposition
- kernel matrix
- linear combination
- low rank approximation
- tensor decomposition
- high order
- high dimensional data
- semi supervised
- signal processing
- binary matrices
- high dimensional
- minimization problems
- data matrix
- data sets
- trace norm
- singular values
- recommender systems
- pairwise
- feature selection