Randomized low-rank approximations beyond Gaussian random matrices.
Arvind K. SaibabaAgnieszka MiedlarPublished in: CoRR (2023)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- adjacency matrix
- iterative algorithms
- singular values
- reconstruction error
- nonnegative matrix factorization
- data dependent
- matrix completion
- latent semantic indexing
- maximum likelihood
- missing data
- principal component analysis
- matrix factorization
- sparse representation
- random walk
- low dimensional