Dimensionality reduction and feature extraction applications in identifying computer users.
Saleh Ali BlehaMohammad S. ObaidatPublished in: IEEE Trans. Syst. Man Cybern. (1991)
Keyphrases
- computer users
- feature extraction
- dimensionality reduction
- principal component analysis
- linear discriminant analysis
- manifold learning
- low dimensional
- feature selection
- pattern recognition
- feature space
- data representation
- feature vectors
- image classification
- dimensionality reduction methods
- high dimensional
- high dimensional data
- input space
- preprocessing
- high dimensionality
- image processing
- texture classification
- preprocessing step
- discriminant projection
- face recognition
- pattern classification
- principal components
- singular value decomposition
- linear dimensionality reduction
- structure preserving
- wavelet transform
- extracted features
- discriminant analysis
- nonlinear dimensionality reduction
- feature representation
- pattern recognition and machine learning
- feature extractor
- multiresolution
- defect detection
- multidimensional scaling
- data points
- kernel pca
- iris recognition
- metric learning
- face images
- gabor filters
- support vector machine svm
- texture features
- texture analysis