New Routes from Minimal Approximation Error to Principal Components.
Abhilash Alexander MirandaYann-Aël Le BorgneGianluca BontempiPublished in: Neural Process. Lett. (2008)
Keyphrases
- principal components
- approximation error
- principal component analysis
- dimensionality reduction
- principal component regression
- estimation error
- covariance matrix
- image processing
- high resolution
- correlation coefficient
- kernel space
- pattern recognition
- feature vectors
- wavelet transform
- feature set
- reconstruction error