Low-rank tensor completion with sparse regularization in a transformed domain.
Ping-Ping WangLiang LiGuang-Hui ChengPublished in: Numer. Linear Algebra Appl. (2021)
Keyphrases
- low rank
- trace norm
- rank minimization
- tensor decomposition
- low rank matrix
- high order
- group sparsity
- kernel matrices
- low rank matrices
- low rank subspace
- group lasso
- sparsity constraints
- matrix completion
- missing data
- convex optimization
- nuclear norm
- singular value decomposition
- robust principal component analysis
- compressive sensing
- linear combination
- matrix factorization
- low rank representation
- minimization problems
- frobenius norm
- matrix decomposition
- semi supervised
- high dimensional data
- low rank approximation
- multi task
- sparse regression
- kernel matrix
- regularized regression
- structured sparsity
- norm minimization
- high dimensional
- higher order
- data sets
- affinity matrix
- pairwise
- sparse approximation
- nearest neighbor
- tensor factorization