Assessing Atmospheric Variability using Kernel Principal Component Analysis.
Andrew E. MercerMichael B. RichmanPublished in: Complex Adaptive Systems (2012)
Keyphrases
- kernel principal component analysis
- kernel pca
- discriminant analysis
- principal components
- feature extraction
- kernel function
- preprocessing
- principal component analysis
- kernel methods
- kernel matrix
- classification method
- face recognition
- high dimensional
- small number of training samples
- feature vectors
- feature space
- high dimensional feature space
- linear discriminant analysis
- gabor wavelets
- kernel fisher discriminant analysis
- graph kernels
- input space
- subspace methods
- feature selection
- support vector machine svm
- dimensionality reduction
- support vector
- data sets