Keyphrases
- principal component analysis
- kernel pca
- kernel principal component analysis
- face recognition
- linear dimensionality reduction
- principal components analysis
- principal components
- dimensionality reduction
- hierarchical structure
- covariance matrix
- computer vision
- appearance based object recognition
- high order
- low dimensional
- face images
- neural network
- linear discriminant analysis
- independent component analysis
- coarse to fine
- negative matrix factorization
- high dimensional feature space
- high dimensional
- principle component analysis
- highly nonlinear
- feature space