Projection-free kernel principal component analysis for denoising.
Anh Tuan BuiJoon-Ku ImDaniel W. ApleyGeorge C. RungerPublished in: Neurocomputing (2019)
Keyphrases
- kernel principal component analysis
- denoising
- kernel pca
- principal components
- discriminant analysis
- feature extraction
- image denoising
- preprocessing
- principal component analysis
- kernel function
- feature space
- total variation
- face recognition
- image processing
- kernel methods
- high dimensional
- high dimensional feature space
- kernel matrix
- gabor wavelets
- classification method
- feature vectors
- gabor filters
- dimensionality reduction
- linear discriminant analysis
- support vector machine
- clustering method
- support vector machine svm