A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis.
Trine Julie AbrahamsenLars Kai HansenPublished in: J. Mach. Learn. Res. (2011)
Keyphrases
- kernel principal component analysis
- high dimensional
- principal components
- discriminant analysis
- kernel pca
- kernel function
- principal component analysis
- feature extraction
- feature space
- preprocessing
- low dimensional
- high dimensional feature space
- kernel methods
- dimensionality reduction
- correlation coefficient
- high dimensional data
- support vector machine svm
- feature vectors
- classification method
- covariance matrix
- kernel matrix
- face recognition
- linear discriminant analysis
- data points
- variable selection
- similarity search
- subspace methods
- graph kernels
- data sets