PCA and KPCA of ECG signals with binary SVM classification.
Lara KanaanDalia MerhebMaya KallasClovis FrancisHassan AmoudPaul HoneinePublished in: SiPS (2011)
Keyphrases
- svm classification
- ecg signals
- principal components analysis
- kernel principal component analysis
- kernel function
- support vector machine
- kernel pca
- support vector machine svm
- principal component analysis
- svm classifier
- classification method
- linear discriminant analysis
- kernel methods
- support vector
- subspace methods
- feature space
- face recognition
- principal components
- image classification
- classification accuracy
- covariance matrix
- dimensionality reduction
- feature extraction
- input space
- feature selection
- feature vectors
- knn
- multi class
- k nearest neighbor
- classification algorithm
- support vectors
- training set
- heart rate
- binary classifiers
- cost sensitive
- low dimensional
- facial expressions
- training data
- independent component analysis
- text categorization
- computer vision
- pattern recognition
- gaussian mixture model