Best Low-rank Approximations and Kolmogorov n-widths.
Michael S. FloaterCarla ManniEspen SandeHendrik SpeleersPublished in: SIAM J. Matrix Anal. Appl. (2021)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- adjacency matrix
- latent semantic indexing
- data dependent
- reconstruction error
- model selection
- least squares
- learning algorithm
- convex optimization
- sparse coding
- linear combination
- objective function
- clustering algorithm
- feature selection