Generalized nonlinear discriminant analysis and its small sample size problems.
Li ZhangWeida ZhouPei-Chann ChangPublished in: Neurocomputing (2011)
Keyphrases
- small sample size
- linear discriminant analysis
- discriminant analysis
- face recognition
- generalized linear
- scatter matrices
- principal component analysis
- dimensionality reduction
- high dimensionality
- generalized discriminant analysis
- high dimensional data
- discriminant subspace
- support vector machine svm
- fisher criterion
- kernel principal component analysis
- sample size
- dimension reduction
- feature extraction
- microarray data
- kernel pca
- feature space
- null space
- linear discriminant
- data mining
- optimization criterion
- high dimensional
- support vector
- kernel discriminant analysis
- discriminant information
- computer vision
- graph embedding
- maximum likelihood
- discriminant vectors
- feature selection