Extensions of principal component analysis for nonlinear feature extraction.
Agus SudjiantoMohamad H. HassounGary S. WassermanPublished in: ICNN (1996)
Keyphrases
- principal component analysis
- feature extraction
- kernel principal component analysis
- kernel pca
- dimensionality reduction
- dimension reduction
- linear discriminant analysis
- principal components
- discriminant analysis
- face recognition
- feature space
- neural classifier
- high dimensional feature space
- face images
- lower dimensional
- preprocessing
- independent component analysis
- covariance matrix
- frequency domain
- feature vectors
- negative matrix factorization
- dimensionality reduction methods
- random projections
- independent components analysis
- pattern classification
- low dimensional
- image classification
- pattern recognition
- feature selection
- default logic
- singular value decomposition
- feature set
- fisher linear discriminant
- neural network
- face databases
- dimension reduction methods
- linear feature extraction
- image processing
- graph kernels
- extracted features
- texture classification