A covariance estimator for small sample size classification problems and its application to feature extraction.
Bor-Chen KuoDavid A. LandgrebePublished in: IEEE Trans. Geosci. Remote. Sens. (2002)
Keyphrases
- small sample size
- discriminant information
- linear discriminant analysis
- feature extraction
- face recognition
- sample size
- high dimensionality
- feature selection
- discriminant analysis
- dimensionality reduction
- high dimensional
- microarray data
- feature space
- principal component analysis
- variance reduction
- dimension reduction
- high dimensional data
- covariance matrix
- sample space
- maximum likelihood
- support vector machine svm
- pattern recognition
- discriminant embedding
- feature vectors
- microarray
- neural network
- gene expression data
- em algorithm
- image processing