Regularized Complete Linear Discriminant Analysis for Small Sample Size Problems.
Wuyi YangPublished in: ICIC (3) (2012)
Keyphrases
- small sample size
- linear discriminant analysis
- sample size
- high dimensionality
- face recognition
- discriminant analysis
- dimensionality reduction
- high dimensional
- high dimensional data
- microarray data
- principal component analysis
- feature extraction
- dimension reduction
- support vector
- scatter matrices
- null space
- fisher criterion
- support vector machine svm
- feature selection
- discriminant information
- least squares
- model selection
- linear discriminant
- latent dirichlet allocation
- database
- data points
- machine learning
- kernel discriminant analysis