Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems.
Daniel KressnerChristine ToblerPublished in: SIAM J. Matrix Anal. Appl. (2011)
Keyphrases
- linear systems
- subspace methods
- low rank
- trace norm
- high order
- linear discriminant analysis
- high dimensional data
- sufficient conditions
- dynamical systems
- face recognition
- kernel matrix
- dimensionality reduction
- missing data
- linear combination
- lower dimensional
- convex optimization
- principal component analysis
- singular value decomposition
- higher order
- matrix factorization
- semi supervised
- ensemble methods
- pairwise
- face databases
- support vector machine
- linear subspace
- neural network
- feature extraction
- data sets
- feature space
- object detection
- nearest neighbor
- small number