Keyphrases
- principal component analysis
- fisher linear discriminant
- dimensionality reduction
- principal components
- independent component analysis
- face recognition
- low dimensional
- feature extraction
- dimension reduction
- covariance matrix
- feature space
- face images
- singular value decomposition
- lower dimensional
- subspace learning
- discriminant analysis
- linear discriminant analysis
- principal components analysis
- dimension reduction methods
- random projections
- face representation and recognition
- case study
- neural network
- face databases
- gabor features
- principle component analysis
- image processing
- data sets