Linear Discriminant Analysis for Two Classes via Removal of Classification Structure.
Mayer AladjemPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1997)
Keyphrases
- linear discriminant analysis
- small sample size
- support vector machine svm
- discriminant features
- dimension reduction
- feature extraction
- discriminant analysis
- support vector
- dimensionality reduction
- dimensionality reduction methods
- feature space
- class separability
- discriminative information
- face recognition
- principal component analysis
- fisher criterion
- class discrimination
- null space
- principal components analysis
- high dimensionality
- pattern recognition
- class labels
- support vector machine
- classification accuracy
- high dimensional data
- subspace analysis
- feature selection
- supervised dimensionality reduction
- machine learning
- feature vectors
- subspace methods
- image classification
- text classification
- high dimensional
- pca lda
- sample size
- locality preserving projections
- training set
- image processing
- neural network