Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis.
Fatemeh EmdadMichael KirbySeyed A. ZekavatPublished in: DMIN (2008)
Keyphrases
- feature extraction
- principal component analysis
- dimensionality reduction
- frequency domain
- face recognition
- pattern recognition
- signal analysis
- principal components
- kernel function
- high frequency
- independent component analysis
- heart rate variability
- neural network
- lower dimensional
- pattern classification
- texture analysis
- discriminant analysis
- linear discriminant analysis
- self organizing maps
- signal processing
- data analysis
- image processing
- feature selection
- machine learning