Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling.
Matthew FahrbachMehrdad GhadiriThomas FuPublished in: CoRR (2021)
Keyphrases
- tensor decomposition
- low rank
- missing data
- linear combination
- high order
- convex optimization
- semi supervised
- matrix factorization
- high dimensional data
- low rank matrix
- matrix completion
- singular value decomposition
- data representation
- rank minimization
- auxiliary information
- singular values
- nearest neighbor
- image data
- tensor factorization
- data matrix
- data analysis