Tangent Hyperplane Kernel Principal Component Analysis for Denoising.
Joon-Ku ImDaniel W. ApleyGeorge C. RungerPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- hyperplane
- kernel principal component analysis
- denoising
- principal components
- kernel function
- feature space
- high dimensional feature space
- principal component analysis
- input space
- kernel pca
- total variation
- support vector
- image processing
- linear classifiers
- support vector machine
- kernel matrix
- kernel methods
- feature extraction
- training samples
- high dimensional
- discriminant analysis
- preprocessing
- data points
- dimensionality reduction
- face recognition
- support vectors
- feature selection
- training set
- convex hull
- feature set
- decision trees
- feature vectors
- linear discriminant analysis
- pattern recognition
- similarity measure
- svm classifier
- pairwise