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Aligning the Incomplete: Joint Distribution Calibration for Multimodal EEG-Eye Emotion Recognition
The success of cross-subject multimodal emotion recognition hinges on maintaining the consistency of the joint data distribution across individuals. However, real-world deployment frequently triggers the \emph{asymmetric joint distribution collapse}: EEG signals suffer from severe cross-subject dist
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