Regularized orthogonal linear discriminant analysis.
Wai-Ki ChingDelin ChuLi-Zhi LiaoXiaoyan WangPublished in: Pattern Recognit. (2012)
Keyphrases
- linear discriminant analysis
- discriminant vectors
- discriminant analysis
- discriminant projection
- kernel discriminant analysis
- dimensionality reduction
- principal component analysis
- face recognition
- small sample size
- dimension reduction
- feature extraction
- feature space
- support vector machine svm
- high dimensional data
- discriminant features
- null space
- support vector
- fisher criterion
- discriminative information
- generalized discriminant analysis
- scatter matrices
- subspace methods
- principal components analysis
- objective function
- locality preserving projections
- least squares
- scatter matrix
- data analysis
- multivariate statistical
- class separability
- sample size
- pattern recognition