Keyphrases
- principal component analysis
- feature extraction
- dimensionality reduction
- linear discriminant analysis
- principal components
- face recognition
- dimension reduction
- discriminant analysis
- covariance matrix
- independent component analysis
- face images
- feature space
- low dimensional
- preprocessing
- genetic algorithm
- evolutionary optimization
- neural classifier
- feature vectors
- pattern recognition
- image classification
- singular value decomposition
- feature selection
- kernel principal component analysis
- kernel pca
- random projections
- negative matrix factorization
- feature representation
- weighted sum
- image processing
- pattern classification
- texture features
- gabor filters
- lower dimensional
- dimensionality reduction methods
- evolutionary computation
- extracting features
- neural network