Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization.
Mayer AladjemPublished in: IDA (1999)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- scatter matrices
- null space
- feature extraction
- small sample size
- dimension reduction
- discriminant features
- support vector machine svm
- support vector
- feature space
- linear discriminant
- fisher criterion
- subspace methods
- high dimensional data
- principal components analysis
- multivariate statistical
- class separability
- discriminative information
- scatter matrix
- subspace analysis
- data mining
- neural network
- principal components
- low dimensional
- pattern recognition
- image processing
- discriminant information
- feature selection
- generalized discriminant analysis