Uncertain Nonlinear Process Monitoring Using Interval Ensemble Kernel Principal Component Analysis.
Xianrui WangGuo-Xin ZhaoYu LiuShujie YangPublished in: J. Adv. Comput. Intell. Intell. Informatics (2021)
Keyphrases
- kernel principal component analysis
- kernel pca
- feature extraction
- principal components
- discriminant analysis
- principal component analysis
- kernel methods
- kernel function
- preprocessing
- face recognition
- feature space
- high dimensional
- kernel matrix
- high dimensional feature space
- neural network
- training data
- support vector machine svm
- training set
- learning algorithm
- classification method
- ensemble methods
- dimensionality reduction
- linear discriminant analysis
- feature vectors
- feature selection
- machine learning
- low dimensional
- face images
- support vectors
- pattern recognition