Covariance Regularization for Probabilistic Linear Discriminant Analysis.
Zhiyuan PengMingjie ShaoXuanji HeXu LiTan LeeKe DingGuanglu WanPublished in: ICASSP (2023)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- discriminant information
- principal component analysis
- dimension reduction
- null space
- discriminant features
- small sample size
- high dimensional data
- feature extraction
- feature space
- fisher criterion
- support vector
- equivalence relationship
- linear discriminant
- support vector machine svm
- involving high dimensional data
- class separability
- covariance matrix
- discriminative information
- scatter matrix
- generalized discriminant analysis
- face images
- subspace methods
- neural network
- generative model
- low dimensional
- high dimensional