Spectral regularization in generalized matrix learning vector quantization.
David NovaPablo A. EstévezPublished in: WSOM (2017)
Keyphrases
- learning vector quantization
- neural network
- trace norm
- self organizing maps
- bankruptcy prediction
- spectral analysis
- rank minimization
- eigenvalue problems
- eigenvalue decomposition
- low rank
- rough approximations
- pseudo inverse
- laplacian matrix
- matrix valued
- data sets
- matrix factorization
- singular value decomposition
- object recognition
- feature extraction
- moore penrose