Symmetric two dimensional linear discriminant analysis (2DLDA).
Dijun LuoChris H. Q. DingHeng HuangPublished in: CVPR (2009)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- discriminant features
- small sample size
- high dimensional data
- null space
- feature extraction
- principal components analysis
- fisher criterion
- discriminative information
- support vector
- scatter matrix
- subspace methods
- linear discriminant
- class separability
- feature space
- support vector machine svm
- multivariate statistical
- generalized discriminant analysis
- scatter matrices
- low dimensional
- multi class
- high dimensionality
- machine learning
- neural network