Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a learned classifier onto a new subject, 2) retaining knowledge of known subjects after the adaptation. We propose an efficien...

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Hauptverfasser:	Duan, Tiehang, Chauhan, Mihir, Shaikh, Mohammad Abuzar, Chu, Jun, Srihari, Sargur
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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