A New and Fast Orthogonal Linear Discriminant Analysis on Undersampled Problems.
Delin ChuSiong Thye GohPublished in: SIAM J. Sci. Comput. (2010)
Keyphrases
- linear discriminant analysis
- small sample size
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- feature extraction
- dimension reduction
- involving high dimensional data
- discriminant features
- high dimensional data
- support vector machine svm
- feature space
- support vector
- high dimensionality
- machine learning
- null space
- discriminant projection
- multivariate statistical
- high dimensional
- worst case
- theoretical guarantees
- scatter matrices
- data points