A Multi-Source Transfer Joint Matching Method for Inter-Subject Motor Imagery Decoding
Individual differences among different subjects pose a great challenge to motor imagery (MI) decoding. Multi-source transfer learning (MSTL) is one of the most promising ways to reduce individual differences, which can utilize rich information and align the data distribution among different subjects...
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IEEE,
2023-01-01T00:00:00Z.
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