Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
Sebastian MikaGunnar RätschJason WestonBernhard SchölkopfAlexander J. SmolaKlaus-Robert MüllerPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2003)
Keyphrases
- feature space
- feature extraction
- feature vectors
- kernel function
- feature set
- kernel principal component analysis
- high dimensionality
- kernel pca
- high dimensional feature space
- discriminative features
- linear combination
- support vector machine
- classification accuracy
- polynomial kernels
- multiple features
- semi supervised
- input space
- feature selection
- dimensionality reduction
- low level
- high dimensional
- generalized discriminant analysis
- image representation
- class separability
- kernel matrix
- cross view action recognition
- feature subset
- kernel methods
- wavelet coefficients
- principal component analysis
- image features
- multiresolution
- image retrieval
- similarity measure
- face recognition