Best low-rank approximations and Kolmogorov n-widths.
Michael S. FloaterCarla ManniEspen SandeHendrik SpeleersPublished in: CoRR (2020)
Keyphrases
- low rank approximation
- singular value decomposition
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- iterative algorithms
- data dependent
- reconstruction error
- nonnegative matrix factorization
- adjacency matrix
- latent semantic indexing
- semi supervised
- data representation
- similarity measure
- missing data
- model selection
- low dimensional
- pattern recognition