Nonlinear Discriminant Analysis on Embedded Manifold.
Shuicheng YanYuxiao HuDong XuHong-Jiang ZhangBenyu ZhangQianSheng ChengPublished in: IEEE Trans. Circuits Syst. Video Technol. (2007)
Keyphrases
- discriminant analysis
- discriminant subspace
- low dimensional manifolds
- graph embedding
- generalized linear
- face recognition
- kernel principal component analysis
- linear discriminant analysis
- face images
- low dimensional
- manifold learning
- principal component analysis
- feature extraction
- generalized discriminant analysis
- fisher criterion
- cluster analysis
- fisher discriminant analysis
- partial least squares
- dimensionality reduction methods
- high dimensional
- high dimensional data
- discriminant vectors
- discriminant projection
- dimension reduction
- finite dimensional
- kernel pca
- data sets
- kernel discriminant analysis
- support vector machine
- data points
- image processing
- learning algorithm
- data mining