Electroencephalogram (EEG) has been widely used in brain computer interface (BCI) due to its convenience and reliability. The EEG-based BCI applications are majorly limited by the time-consuming calibration procedure for discriminative feature representation classification. Existing EEG classification methods either heavily depend on handcrafted features or require adequate annotated samples at...
