A convergent solution to two dimensional linear discriminant analysis.
Wei ChenKaiqi HuangTieniu TanDacheng TaoPublished in: ICIP (2009)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- principal component analysis
- face recognition
- dimension reduction
- feature extraction
- high dimensional data
- null space
- support vector machine svm
- feature space
- support vector
- discriminant features
- small sample size
- multivariate statistical
- linear discriminant
- fisher criterion
- dealing with high dimensional data
- scatter matrix
- class separability
- discriminative information
- subspace analysis
- subspace methods
- principal components analysis
- principal components
- data points
- pattern recognition