Quasi-Hankel low-rank matrix completion: a convex relaxation.
Konstantin UsevichPierre ComonPublished in: CoRR (2015)
Keyphrases
- matrix completion
- convex relaxation
- low rank
- convex optimization
- multi label
- globally optimal
- rank minimization
- linear combination
- multiple kernel learning
- multistage
- missing data
- low rank matrix
- norm minimization
- singular value decomposition
- matrix factorization
- kernel matrix
- nuclear norm
- optimization methods
- trace norm
- high dimensional data
- singular values
- image processing
- high order
- rank aggregation
- graph cuts
- low dimensional
- collaborative filtering
- semi supervised
- high dimensional