-Low Rank Approximation.
Frank BanVijay BhattiproluKarl BringmannPavel KolevEuiwoong LeeDavid P. WoodruffPublished in: CoRR (2018)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- nonnegative matrix factorization
- latent semantic indexing
- adjacency matrix
- data dependent
- reconstruction error
- matrix factorization
- eigendecomposition
- kernel function
- least squares
- feature space
- data representation
- sparse representation
- model selection