Hyperparameter Selection in Kernel Principal Component Analysis.
Md. Ashad AlamKenji FukumizuPublished in: J. Comput. Sci. (2014)
Keyphrases
- kernel principal component analysis
- discriminant analysis
- feature extraction
- principal components
- preprocessing
- kernel pca
- kernel function
- kernel methods
- feature space
- principal component analysis
- maximum a posteriori
- feature vectors
- model selection
- gabor wavelets
- image segmentation
- classification method
- linear discriminant analysis
- hyperparameters
- gaussian processes