Rethinking Self-Training Based Cross-Subject Domain Adaptation for SSVEP Classification
重新思考基于自训练的跨受体域适应用于SSVEP分类
机构 * School of Artificial Intelligence, Beijing University of Posts and Telecommunications(人工智能学院,北京邮电大学) ; School of Computer Science and Technology, Beihang University(计算机科学与技术学院,北航)
AI总结 本文提出了一种基于自训练的跨受体域适应方法,通过FBEA策略和CSST框架提升SSVEP分类性能。
Comments Accepted to ICASSP 2026