Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring.
Ping WuLingling GuoSiwei LouJinfeng GaoPublished in: IEEE Access (2019)
Keyphrases
- principal component analysis
- kernel pca
- covariance matrix
- kernel principal component analysis
- dimensionality reduction
- face images
- principal components
- feature extraction
- feature space
- low dimensional
- dimension reduction
- global information
- high dimensional
- independent component analysis
- face recognition
- support vector machine svm
- database
- linear discriminant analysis
- piecewise linear
- nonlinear models