Low-rank approximation of tensors via sparse optimization.
Xiaofei WangCarmeliza NavascaPublished in: Numer. Linear Algebra Appl. (2018)
Keyphrases
- low rank approximation
- low rank matrices
- singular value decomposition
- subspace learning
- low rank
- low rank matrix approximation
- spectral clustering
- kernel matrix
- latent semantic indexing
- high order
- data dependent
- reconstruction error
- high dimensional
- data sets
- nonnegative matrix factorization
- kernel methods
- sparse representation
- training data