Kernel Principal Component Analysis through Time for Voice Disorder Classification.
Mauricio A. ÁlvarezRicardo HenaoGermán Castellanos-DomínguezJuan Ignacio Godino-LlorenteÁlvaro Ángel OrozcoPublished in: EMBC (2006)
Keyphrases
- kernel principal component analysis
- feature extraction
- classification method
- discriminant analysis
- feature space
- pattern recognition
- principal components
- support vector machine svm
- small number of training samples
- classification accuracy
- text classification
- feature vectors
- kernel pca
- preprocessing
- principal component analysis
- image classification
- kernel function
- support vector machine
- support vector
- training set
- machine learning
- kernel matrix
- rotation invariant
- kernel methods
- pairwise
- class labels
- benchmark datasets