Relevance-based label distribution feature selection via convex optimization.
Wenbin QianQianzhi YeYihui LiJintao HuangShiming DaiPublished in: Inf. Sci. (2022)
Keyphrases
- convex optimization
- feature selection
- interior point methods
- low rank
- total variation
- primal dual
- convex formulation
- convex optimization problems
- semidefinite program
- convex relaxation
- operator splitting
- feature extraction
- basis pursuit
- norm minimization
- multi label learning
- text categorization
- feature set
- support vector machine
- support vector
- machine learning
- image denoising
- multi label
- knn