Local Geometric Consistency (LGC) for cross-subject EEG transfer learning: Riemannian aggregation of covariance matrices within recording segments, with unsupervised (RCT + MDM) and calibration-based (TSA-LR) domain adaptation and leave-one-subject-out evaluation.
Local Geometric Consistency + Riemannian Centering Transformation for cross-subject EEG transfer learning
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