Linear discriminant analysis with generalized kernel constraint for robust image classification.
Shuyi LiHengmin ZhangRuijun MaJianhang ZhouJie WenBob ZhangPublished in: Pattern Recognit. (2023)
Keyphrases
- linear discriminant analysis
- image classification
- feature extraction
- discriminant analysis
- class separability
- kernel discriminant analysis
- feature space
- principal component analysis
- face recognition
- support vector
- generalized discriminant analysis
- dimensionality reduction
- small sample size
- dimension reduction
- null space
- kernel pca
- fisher criterion
- discriminant features
- support vector machine svm
- high dimensional data
- subspace methods
- kernel function
- scatter matrix
- kernel methods
- neural network
- feature vectors
- independent component analysis
- least squares
- training data
- qr decomposition
- decision trees