Matrix sparsification and the sparse null space problem
Lee-Ad GottliebTyler NeylonPublished in: CoRR (2010)
Keyphrases
- null space
- theoretical guarantees
- singular value decomposition
- projection matrix
- linear discriminant analysis
- novelty detection
- singular values
- principal components
- least squares
- scatter matrices
- discriminant analysis
- sparse representation
- discriminative information
- high dimensional
- sparse coding
- finite dimensional
- intra class
- dimensionality reduction
- small sample size
- nearest neighbor
- face recognition