Keyphrases
- feature extraction
- feature space
- discriminant analysis
- discriminant subspace
- kernel pca
- principal component analysis
- kernel based nonlinear
- dimensionality reduction
- kernel function
- preprocessing
- dimension reduction
- kernel principal component analysis
- feature vectors
- image classification
- principle component analysis
- pattern recognition
- linear discriminant analysis
- principal components analysis
- kernel space
- high dimensional data
- kernel methods
- high dimensional
- wavelet transform
- feature selection
- low dimensional
- kernel trick
- support vector
- face recognition
- kernel matrix
- extracted features
- input space
- feature set
- dot product
- similarity function
- pattern classification
- subspace methods
- component analysis
- hilbert space
- frequency domain
- support vector machine svm
- linear feature extraction
- principal components
- high dimensional feature space
- manifold learning
- subspace learning
- input data
- feature representation