Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals.
Sunil Kumar PrabhakarHarikumar RajaguruPublished in: SoCPaR (2016)
Keyphrases
- eeg signals
- principle component analysis
- expectation maximization
- fold cross validation
- kernel density estimators
- extracted features
- dimensionality reduction
- signal processing
- eeg data
- motor imagery
- brain computer interface
- em algorithm
- healthy subjects
- feature extraction
- brain activity
- event related potentials
- principal components analysis
- linear discriminant classifier
- svm classifier
- low dimensional
- support vector
- classification algorithm
- computer vision
- pattern classification
- independent component analysis
- mixture model
- maximum likelihood
- support vector machine
- electrical activity
- high dimensional