Covariance Regularization for Probabilistic Linear Discriminant Analysis.
Zhiyuan PengMingjie ShaoXuanji HeXu LiTan LeeKe DingGuanglu WanPublished in: CoRR (2022)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant information
- small sample size
- equivalence relationship
- feature extraction
- discriminant features
- support vector
- feature space
- fisher criterion
- dimension reduction
- support vector machine svm
- involving high dimensional data
- high dimensional data
- null space
- covariance matrix
- generative model
- class separability
- probabilistic model
- generalized discriminant analysis
- subspace methods
- covariance matrices
- discriminative information
- scatter matrices
- pattern recognition
- data sets
- data mining
- scatter matrix
- computer vision
- linear discriminant
- multi class
- low dimensional
- high dimensionality
- singular value decomposition