Randomized low-rank approximation for symmetric indefinite matrices.
Taejun ParkYuji NakatsukasaPublished in: CoRR (2022)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- kernel matrix
- spectral clustering
- iterative algorithms
- data dependent
- low rank matrices
- nonnegative matrix factorization
- positive definite
- latent semantic indexing
- reconstruction error
- adjacency matrix
- dimensionality reduction
- least squares
- eigendecomposition
- missing data
- linear combination
- low dimensional
- semi supervised
- low rank matrix
- pattern recognition
- face recognition