Robust kernel principal component analysis and classification.
Michiel DebruyneTim VerdonckPublished in: Adv. Data Anal. Classif. (2010)
Keyphrases
- kernel principal component analysis
- classification method
- feature extraction
- preprocessing
- feature space
- classification accuracy
- machine learning
- classification algorithm
- support vector machine svm
- decision trees
- kernel function
- discriminant analysis
- kernel pca
- small number of training samples
- supervised learning
- training set
- face recognition
- principal components
- data sets
- feature vectors
- image classification
- svm classifier
- input space
- kernel matrix
- subspace methods