Nonlinear Autoassociation Is Not Equivalent to PCA.
Nathalie JapkowiczStephen Jose HansonMark A. GluckPublished in: Neural Comput. (2000)
Keyphrases
- kernel pca
- principal component analysis
- kernel principal component analysis
- face recognition
- dimensionality reduction
- principal components analysis
- principal components
- principle component analysis
- high dimensional feature space
- linear dimensionality reduction
- feature extraction
- independent component analysis
- machine learning
- input space
- face databases
- negative matrix factorization
- kernel matrix
- gabor features
- feature space
- low dimensional
- face representation and recognition
- independent components analysis
- highly nonlinear
- k means
- face images
- high order
- spectral clustering
- kernel methods
- singular value decomposition