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Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
你好,在运行例程时发现缺少函数mean_covariances,在centroid_align函数中被调用
In Table II of the paper, the input space dismension of MI1 is 6*200. The features are "six log-variance features of the CSP filtered trials". My question is how to compute the covariance matrix using these features? For each sample, we only have 6 such features and no time-series data, but according to the algorithm, we need to calculate the Euclidean mean with the features's covariance? Thank you in advance for your answer!
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