Reconstruction-based contribution for process monitoring with kernel principal component analysis.
Carlos F. AlcalaS. Joe QinPublished in: ACC (2010)
Keyphrases
- kernel principal component analysis
- kernel pca
- discriminant analysis
- principal component analysis
- preprocessing
- kernel function
- principal components
- small number of training samples
- feature extraction
- feature space
- face recognition
- kernel fisher discriminant analysis
- classification method
- kernel methods
- kernel matrix
- high dimensional
- linear discriminant analysis
- feature vectors
- high resolution
- input space
- support vector machine svm
- metric learning
- gabor wavelets
- subspace methods
- computer vision