A Subspace Kernel for Nonlinear Feature Extraction.
Mingrui WuJason D. R. FarquharPublished in: IJCAI (2007)
Keyphrases
- feature extraction
- kernel based nonlinear
- kernel pca
- discriminant subspace
- discriminant analysis
- kernel principal component analysis
- feature space
- principal component analysis
- linear discriminant analysis
- dimensionality reduction
- subspace methods
- kernel function
- kernel trick
- principal components
- generalized discriminant analysis
- kernel methods
- face recognition
- subspace learning
- principle component analysis
- high dimensional feature space
- nonlinear kernel
- feature vectors
- kernel matrix
- image processing
- low dimensional
- high dimensional
- wavelet transform
- dimension reduction
- input space
- hilbert space
- independent components analysis
- preprocessing
- manifold learning
- image classification
- pattern classification
- extracted features
- graph embedding
- kernel space
- canonical correlations
- spectral clustering
- pattern recognition
- feature set
- gabor filters
- component analysis
- linear subspace
- support vector