Separable Two-Dimensional Linear Discriminant Analysis.
Jianhua ZhaoPhilip L. H. YuShulan LiPublished in: COMPSTAT (2010)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- feature extraction
- small sample size
- discriminant features
- support vector machine svm
- dimension reduction
- support vector
- null space
- fisher criterion
- feature space
- discriminative information
- principal components analysis
- linear discriminant
- high dimensional data
- dealing with high dimensional data
- generalized discriminant analysis
- subspace methods
- neural network
- class separability
- scatter matrices
- pattern recognition
- scatter matrix
- multivariate statistical
- low dimensional
- face images
- subspace analysis
- high dimensional
- discriminant information