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Unsupervised EEG domain adaptation is unlocked by treating distribution shifts as linear transformations on the SPD manifold, enabling interpretable alignment without labeled calibration data.
A unified evaluation framework for portrait composition could revolutionize how AI interprets and generates artistic images.
