Capped norm linear discriminant analysis and its applications.
Jiakou LiuXiong XiongPei-Wei RenChun-Na LiYuan-Hai ShaoPublished in: Appl. Intell. (2023)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- small sample size
- feature extraction
- fisher criterion
- discriminant features
- feature space
- support vector
- null space
- principal components analysis
- discriminative information
- support vector machine svm
- high dimensional data
- linear discriminant
- class separability
- objective function
- dealing with high dimensional data
- multivariate statistical
- kernel pca
- support vector machine
- kernel function
- low dimensional
- image processing
- scatter matrix
- feature selection
- discriminant vectors
- data mining