Low rank tensor completion with sparse regularization in a transformed domain.
Ping-Ping WangLiang LiGuang-Hui ChengPublished in: CoRR (2019)
Keyphrases
- trace norm
- low rank
- rank minimization
- tensor decomposition
- high order
- low rank matrix
- kernel matrices
- group sparsity
- low rank matrices
- missing data
- matrix factorization
- sparsity constraints
- matrix completion
- nuclear norm
- linear combination
- convex optimization
- low rank subspace
- group lasso
- compressive sensing
- singular value decomposition
- frobenius norm
- robust principal component analysis
- kernel matrix
- low rank approximation
- low rank representation
- minimization problems
- sparse regression
- multi task
- matrix decomposition
- semi supervised
- sparse coding
- tensor factorization
- high dimensional data
- higher order
- norm minimization
- regularized regression
- pattern recognition
- structured sparsity
- kernel function
- singular values
- reproducing kernel hilbert space