Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples.
Terence D. SangerPublished in: NIPS (1993)
Keyphrases
- input output
- singular value decomposition
- iterative algorithms
- low rank approximation
- singular values
- least squares
- dimension reduction
- internal states
- low rank
- reconstruction error
- latent semantic indexing
- principal component analysis
- dimensionality reduction
- error minimization
- spectral clustering
- data matrix
- data sets
- training samples
- feature extraction
- null space
- pattern recognition
- learning algorithm