Randomized low-rank approximation of monotone matrix functions.
David PerssonDaniel KressnerPublished in: CoRR (2022)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- adjacency matrix
- low rank matrices
- kernel matrix
- latent semantic indexing
- nonnegative matrix factorization
- spectral clustering
- iterative algorithms
- reconstruction error
- convex optimization
- singular values
- matrix completion
- low rank matrix
- least squares
- matrix factorization
- data dependent
- missing data
- linear combination
- semi supervised
- support vector
- positive definite