A feature selection method using improved regularized linear discriminant analysis.
Alok SharmaKuldip K. PaliwalSeiya ImotoSatoru MiyanoPublished in: Mach. Vis. Appl. (2014)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- kernel discriminant analysis
- null space
- small sample size
- feature extraction
- dimension reduction
- discriminant features
- support vector machine svm
- fisher criterion
- class separability
- support vector
- high dimensional data
- feature space
- discriminative information
- generalized discriminant analysis
- subspace methods
- principal components analysis
- locality preserving projections
- multivariate statistical
- low dimensional
- subspace analysis
- scatter matrices
- least squares
- learning algorithm
- pattern recognition
- feature selection
- discriminant vectors