A novel recommendation system via L0-regularized convex optimization.
Jinjiao LinYibin LiJian LianPublished in: Neural Comput. Appl. (2020)
Keyphrases
- convex optimization
- norm minimization
- low rank
- interior point methods
- total variation
- convex optimization problems
- convex relaxation
- collaborative filtering
- trace norm
- convex programming
- primal dual
- recommender systems
- sparse representation
- semidefinite program
- convex constraints
- convex formulation
- image processing
- risk minimization
- least squares
- high resolution
- feature vectors
- objective function
- image segmentation