Nonlinear feature extraction and classification of multivariate data in kernel feature space.
Hyun-Woo ChoPublished in: Expert Syst. Appl. (2007)
Keyphrases
- multivariate data
- feature extraction and classification
- feature space
- high dimensional
- feature extraction
- high dimensional feature space
- kernel pca
- kernel principal component analysis
- principal components
- kernel function
- original data
- generalized discriminant analysis
- kernel based nonlinear
- principle component analysis
- principal component analysis
- kernel methods
- input space
- pattern recognition
- low dimensional
- dimensionality reduction
- texture classification
- feature vectors
- kernel matrix
- categorical data
- parameter space
- mean shift
- feature selection
- preprocessing
- high dimensionality
- nearest neighbor
- classification accuracy
- linear discriminant analysis
- neural network
- computer vision
- face recognition
- high dimensional data
- dimension reduction
- data mining
- image classification
- data mining techniques
- feature set
- image processing
- data analysis
- data sets
- similarity measure
- vehicle detection
- training set
- support vector machine
- input data
- texture analysis