MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment.
Seong-Eun MoonJong-Seok LeePublished in: EMBC (2020)
Keyphrases
- eeg signals
- feature space
- linear discriminant classifier
- high dimensional feature space
- brain computer interface
- signal processing
- dot product
- motor imagery
- healthy subjects
- high dimensional
- feature vectors
- eeg data
- brain activity
- principal component analysis
- mean shift
- training samples
- kernel density estimators
- kernel function
- electrical activity
- input space
- feature selection
- training set
- data points
- classification accuracy
- data mining
- brain signals
- support vector machine
- dimensionality reduction
- multiresolution
- similarity measure
- linear regression
- low dimensional
- image representation
- machine learning