Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring.
Lingling GuoPing WuJinfeng GaoSiwei LouPublished in: IEEE Access (2019)
Keyphrases
- kernel principal component analysis
- high dimensional
- kernel pca
- discriminant analysis
- principal components
- feature extraction
- principal component analysis
- preprocessing
- kernel function
- feature space
- kernel methods
- classification method
- kernel matrix
- face recognition
- high dimensional feature space
- gabor wavelets
- feature vectors
- linear discriminant analysis
- dimensionality reduction
- input space
- computer vision
- support vector machine svm
- low dimensional
- data points
- high dimensional data
- scale space
- subspace methods
- graph kernels
- nearest neighbor