Bayesian Approach with Nonlinear Kernels to Feature Extraction.
Kenji NagaoPublished in: ICPR (2) (2004)
Keyphrases
- feature extraction
- kernel principal component analysis
- feature space
- kernel function
- discriminant analysis
- kernel fisher discriminant analysis
- kernel pca
- kernel methods
- preprocessing
- feature vectors
- principal components
- pattern classification
- principal component analysis
- feature selection
- texture analysis
- diffusion processes
- kernel svms
- frequency domain
- linear combination
- face recognition
- high dimensional feature space
- dimension reduction
- image classification
- feature mapping
- pattern recognition
- learning algorithm
- linear discriminant analysis
- support vector machine
- dimensionality reduction
- multiple kernel learning
- extracted features
- image preprocessing
- feature representation
- linear feature extraction
- feature set