Keyphrases
- principal component analysis
- face recognition
- feature extraction
- kernel principal component analysis
- genetic algorithm
- kernel pca
- linear discriminant analysis
- discriminant analysis
- face images
- linear dimensionality reduction
- face databases
- fisher linear discriminant
- dimensionality reduction
- dimension reduction
- independent component analysis
- principal components
- generalized discriminant analysis
- recognition rate
- independent components analysis
- local binary pattern
- feature space
- fuzzy logic
- low dimensional
- simulated annealing
- face detection
- human faces
- neural network
- high dimensional feature space
- artificial neural networks
- feature representation
- gabor features
- kernel fisher discriminant analysis
- preprocessing
- wavelet transform
- support vector machine svm
- computer vision
- neural classifier
- evolutionary algorithm
- image processing
- image classification
- subspace methods
- lower dimensional
- multi objective
- singular value decomposition
- covariance matrix
- fitness function
- dimensionality reduction methods
- sparse representation
- gabor wavelets
- locality preserving projections
- fisher criterion
- pattern classification
- discriminant embedding
- appearance based face recognition