Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery.
Ivan MarkovskyPier Luigi DragottiPublished in: LVA/ICA (2018)
Keyphrases
- signal recovery
- low rank approximation
- singular value decomposition
- subspace learning
- spectral clustering
- low rank
- kernel matrix
- compressed sensing
- iterative algorithms
- orthogonal matching pursuit
- missing data
- nonnegative matrix factorization
- object recognition
- natural images
- adjacency matrix
- clustering method
- image representation
- data sets
- support vectors
- image features
- high dimensional
- objective function