Kernel Principal Component Analysis Pseudoinverse Learning Algorithm.
Huanan PuFusheng YuPublished in: ISKE (2021)
Keyphrases
- kernel principal component analysis
- pseudo inverse
- learning algorithm
- covariance matrix
- principal component analysis
- principal components
- discriminant analysis
- kernel pca
- feature extraction
- kernel function
- least squares
- preprocessing
- kernel methods
- feature vectors
- classification method
- high dimensional
- kernel matrix
- face recognition
- high dimensional feature space
- support vector machine svm
- machine learning
- feature space
- radial basis function
- linear discriminant analysis
- generalization ability
- dimensionality reduction
- learning tasks
- active learning
- training data
- supervised learning
- training examples
- classification algorithm
- neural network
- k nearest neighbor
- training samples
- input space
- image processing
- feature selection