Kernel subspace pursuit for sparse regression.
Jad KabbaraIoannis N. PsaromiligkosPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- sparse regression
- feature selection and classification
- low rank
- linear regression
- feature space
- high dimensional data
- kernel function
- low dimensional
- principal component analysis
- dimensionality reduction
- kernel methods
- support vector
- pairwise constraints
- feature ranking
- feature extraction
- high dimensionality
- data points
- data sets
- high dimensional
- feature selection
- singular value decomposition
- similarity measure