From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation.
D. A. KolesnikovIvan V. OseledetsPublished in: SIAM J. Matrix Anal. Appl. (2015)
Keyphrases
- subspace methods
- low rank approximation
- singular value decomposition
- principal component analysis
- subspace learning
- spectral clustering
- low rank
- linear discriminant analysis
- face recognition
- kernel matrix
- iterative algorithms
- ensemble methods
- benchmark datasets
- dimensionality reduction
- dimension reduction
- data representation
- high dimensional
- feature space
- machine learning