A deterministic approach to regularized linear discriminant analysis.
Alok SharmaKuldip K. PaliwalPublished in: Neurocomputing (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- kernel discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- discriminant features
- null space
- dimension reduction
- high dimensional data
- small sample size
- feature space
- support vector
- feature extraction
- linear discriminant
- support vector machine svm
- principal components analysis
- discriminative information
- least squares
- multivariate statistical
- class separability
- fisher criterion
- generalized discriminant analysis
- subspace methods
- data mining
- logistic regression
- scatter matrices
- pattern recognition
- multi class
- machine learning
- scatter matrix
- qr decomposition
- neural network