Linear Discriminant Analysis for Two Classes via Recursive Neural Network Reduction of the Class Separation.
Mayer AladjemPublished in: SSPR/SPR (1998)
Keyphrases
- linear discriminant analysis
- neural network
- scatter matrix
- discriminant analysis
- linear discriminant
- fisher criterion
- recursive functions
- null space
- class separability
- dimensionality reduction
- face recognition
- scatter matrices
- principal component analysis
- class discrimination
- supervised dimensionality reduction
- small sample size
- dimension reduction
- discriminant features
- discriminant information
- feature extraction
- feature reduction
- feature space
- dimensionality reduction methods
- pattern recognition
- support vector
- principal components analysis
- kernel discriminant analysis
- class labels
- high dimensional data
- support vector machine svm
- discriminative information
- subspace methods
- object classes
- locality preserving projections
- high dimensionality
- generalized discriminant analysis
- intra class
- singular value decomposition
- training samples
- high dimensional
- decision trees
- computer vision