Computing Truncated Singular Value Decomposition Least Squares Solutions by Rank Revealing QR-Factorizations.
Tony F. ChanPer Christian HansenPublished in: SIAM J. Sci. Comput. (1990)
Keyphrases
- singular value decomposition
- least squares
- singular values
- low rank approximation
- nonnegative matrix factorization
- latent semantic indexing
- reconstruction error
- dimension reduction
- low rank
- qr decomposition
- ls svm
- optical flow
- singular vectors
- neural network
- dimensionality reduction
- feature selection
- low rank matrix
- measurement matrix
- feature extraction
- data matrix
- null space
- correlation matrix