Automatic detection and classification of EEG artifacts using fuzzy kernel SVM and wavelet ICA (WICA).
K. YasodaR. S. PonmagalK. S. BhuvaneshwariK. VenkatachalamPublished in: Soft Comput. (2020)
Keyphrases
- automatic detection
- support vector
- automatic classification
- support vector machine svm
- support vector machine
- svm classification
- kernel function
- feature extraction
- svm classifier
- feature space
- classification method
- feature vectors
- kernel parameters
- kernel machines
- feature selection
- independent component analysis
- classification algorithm
- eeg signals
- eeg data
- kernel methods
- classification accuracy
- pattern recognition
- generalization ability
- histogram intersection kernel
- decision trees
- fuzzy sets
- wavelet transform
- face recognition
- automatically detecting
- principle component analysis
- machine learning
- multi class classification
- multiple kernel learning
- training set
- multi class
- denoising
- standard svm
- signal processing
- string kernels
- polynomial kernels
- decision function
- text classification
- kernel space
- motor imagery
- rbf kernel
- image classification
- hyperplane
- tree kernels
- gaussian kernel