Convex Recovery of Tensors Using Nuclear Norm Penalization.
Stéphane ChrétienTianwen WeiPublished in: LVA/ICA (2015)
Keyphrases
- nuclear norm
- low rank
- low rank matrix
- high order
- minimization problems
- norm minimization
- matrix completion
- low rank matrices
- convex optimization
- singular values
- rank minimization
- convex relaxation
- linear combination
- matrix factorization
- singular value decomposition
- missing data
- total variation
- semi supervised
- higher order
- sparse matrix
- pairwise
- kernel matrix
- sparse representation
- approximation methods
- high dimensional data
- data sets
- least squares
- data matrix
- interior point methods