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Multivariate time‐series (MTS) data are prevalent in diverse domains and often high dimensional. We propose new random projection ensemble classifiers with high‐dimensional MTS. The method first applies dimension reduction in the time domain via randomly projecting the time‐series variables into some low‐dimensional space, followed by measuring the disparity via some novel base classifier between...
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