A Gradient Linear Discriminant Analysis for Small Sample Sized Problem.
Alok SharmaKuldip K. PaliwalPublished in: Neural Process. Lett. (2008)
Keyphrases
- linear discriminant analysis
- small sample
- dimensionality reduction
- discriminant analysis
- face recognition
- high dimensional
- support vector machine
- principal component analysis
- sample size
- support vector machine svm
- high dimensionality
- support vector
- dimension reduction
- high dimensional data
- feature space
- null space
- feature extraction
- feature selection
- ls svm
- feature selection algorithms
- qr decomposition
- model selection
- svm classifier
- data mining
- input data
- nearest neighbor
- machine learning