Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals.
Maya KallasClovis FrancisLara KanaanDalia MerhebPaul HoneineHassan AmoudPublished in: ICT (2012)
Keyphrases
- feature extraction
- multi class svm
- kernel pca
- kernel principal component analysis
- ecg signals
- feature vectors
- multi class classification
- multi class
- feature selection
- dimensionality reduction
- image classification
- feature space
- principal component analysis
- pattern recognition
- support vector machine
- support vector machine svm
- kernel methods
- machine learning
- mit bih arrhythmia database
- extracted features
- input space
- discriminant analysis
- classification accuracy
- linear discriminant analysis
- cross validation
- text classification
- support vector
- face recognition
- kernel matrix
- gabor wavelets
- feature set