Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications.
Tae-Kyun KimBjörn StengerJosef KittlerRoberto CipollaPublished in: Int. J. Comput. Vis. (2011)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- feature extraction
- dimension reduction
- discriminant features
- small sample size
- null space
- high dimensional data
- fisher criterion
- support vector machine svm
- subspace methods
- support vector
- principal components analysis
- linear discriminant
- class separability
- multivariate statistical
- feature space
- discriminative information
- generalized discriminant analysis
- qr decomposition
- locality preserving projections
- computer vision
- subspace analysis
- data analysis
- high dimensionality
- high dimensional
- low dimensional