Subspace-preserving sparsification of matrices with minimal perturbation to the near null-space. Part II: Approximation and Implementation
Chetan JhuraniPublished in: CoRR (2013)
Keyphrases
- null space
- singular value decomposition
- projection matrix
- singular values
- scatter matrices
- principal components
- linear discriminant analysis
- novelty detection
- least squares
- principal component analysis
- feature space
- theoretical guarantees
- scatter matrix
- small sample size
- sample size
- linear combination
- high dimensional