- Review
A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring
- Karl Ezra Pilario,
- Mahmood Shafiee,
- Yi Cao,
- Liyun Lao and
- Shuang-Hua Yang
Kernel methods are a class of learning machines for the fast recognition of nonlinear patterns in any data set. In this paper, the applications of kernel methods for feature extraction in industrial process monitoring are systematically reviewed. Fir...