Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces
For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a reliable model for a target subject with few MI trials is important since the data collection process is labour-intensive and expensive. In this paper, we address this issue by proposing a few-shot learning me...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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