Matrix Sparsification and the Sparse Null Space Problem.
Lee-Ad GottliebTyler NeylonPublished in: Algorithmica (2016)
Keyphrases
- null space
- theoretical guarantees
- projection matrix
- singular value decomposition
- linear discriminant analysis
- singular values
- novelty detection
- principal components
- sparse representation
- least squares
- discriminative information
- discriminant analysis
- scatter matrices
- data sets
- sparse coding
- high dimensional
- intra class
- computer vision
- support vector machine svm
- supervised learning
- data analysis
- image processing