Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis.
Rachel S. Y. TeoTan M. NguyenPublished in: CoRR (2024)
Keyphrases
- hidden structure
- kernel principal component analysis
- kernel pca
- principal components
- discriminant analysis
- kernel fisher discriminant analysis
- feature extraction
- feature space
- principal component analysis
- high dimensional
- preprocessing
- kernel function
- kernel methods
- face recognition
- classification method
- linear combination
- kernel matrix
- small number of training samples
- feature vectors
- support vector machine svm
- machine learning
- classification accuracy
- clustering algorithm
- feature selection