Low-rank optimization with convex constraints.
Christian GrusslerAnders RantzerPontus GiselssonPublished in: CoRR (2016)
Keyphrases
- low rank
- convex optimization
- convex constraints
- convex programming
- convex relaxation
- low rank matrix
- norm minimization
- quadratic program
- matrix completion
- missing data
- matrix factorization
- rank minimization
- kernel matrix
- linear combination
- interior point methods
- primal dual
- singular value decomposition
- high dimensional data
- high order
- semi supervised
- recommender systems
- total variation
- active learning
- objective function