Generalized Oja's rule for linear discriminant analysis with Fisher criterion.
José C. PríncipeDongxin XuChuan WangPublished in: ICASSP (1997)
Keyphrases
- fisher criterion
- linear discriminant analysis
- discriminant analysis
- face recognition
- linear discriminant
- dimensionality reduction
- principal component analysis
- support vector
- small sample size
- dimension reduction
- distance measure
- high dimensional data
- feature extraction
- feature space
- scatter matrices
- null space
- subspace learning
- fisher linear discriminant
- support vector machine svm
- discriminative information
- data representation
- signal processing
- high dimensional
- pattern recognition
- image processing
- machine learning