Generalized two-dimensional linear discriminant analysis with regularization.
Chun-Na LiYuan-Hai ShaoWei-Jie ChenZhen WangNai-Yang DengPublished in: Neural Networks (2021)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- discriminant features
- feature extraction
- dimension reduction
- support vector machine svm
- involving high dimensional data
- small sample size
- subspace methods
- equivalence relationship
- null space
- feature space
- fisher criterion
- class separability
- support vector
- linear discriminant
- high dimensional data
- discriminative information
- multivariate statistical
- scatter matrix
- multi class
- generalized discriminant analysis
- scatter matrices
- high dimensional
- low dimensional