Robust approximations of low-rank minimization for tensor completion.
Shangqi GaoXiahai ZhuangPublished in: Neurocomputing (2020)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- trace norm
- high order
- norm minimization
- low rank subspace
- matrix completion
- convex optimization
- low rank representation
- minimization problems
- matrix factorization
- robust principal component analysis
- frobenius norm
- linear combination
- tensor decomposition
- missing data
- matrix decomposition
- higher order
- approximation methods
- semi supervised
- singular value decomposition
- kernel matrix
- low rank matrices
- data matrix
- high dimensional data
- low rank approximation
- multi task
- recommender systems
- objective function
- data sets
- active learning