Non-convex feature selection based on feature correlation representation and dual manifold optimization.
Ronghua ShangLizhuo GaoHaijing ChiJiarui KongWeitong ZhangSonghua XuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- feature selection
- feature set
- feature representation
- vector representation
- irrelevant features
- feature subset
- feature space
- manifold learning
- semidefinite
- discriminative features
- text classification
- convex optimization
- input features
- optimization algorithm
- text categorization
- optimization problems
- feature vectors
- feature ranking
- dual variables
- convex relaxation
- risk minimization
- selected features
- optimization method
- feature extraction
- piecewise linear
- feature weighting
- correlation coefficient
- image representation
- low dimensional
- linear programming
- image features
- lie group
- support vector machine
- support vector
- redundant features