Fault estimation of nonlinear processes using kernel principal component analysis.
Maya KallasGilles MourotDidier MaquinJosé RagotPublished in: ECC (2015)
Keyphrases
- kernel principal component analysis
- kernel pca
- discriminant analysis
- principal components
- feature extraction
- preprocessing
- principal component analysis
- kernel function
- feature space
- kernel methods
- classification method
- high dimensional
- high dimensional feature space
- feature vectors
- fault diagnosis
- kernel matrix
- linear discriminant analysis
- face recognition
- support vector machine svm
- gabor wavelets
- computer vision
- spectral clustering
- input space
- pairwise
- machine learning
- neural network
- least squares