Transfer Learning Based on Hybrid Riemannian and Euclidean Space Data Alignment and Subject Selection in Brain-Computer Interfaces
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DOI: 10.1109/access.2020.3048683
Abstract: Transfer learning is a promising approach for reducing training time in a brain-computer interface (BCI). However, how to effectively transfer data from previous users to a new user poses a huge challenge. This paper presents… read more here.
Keywords: subject selection; transfer learning; data alignment; alignment ... See more keywords