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Multiple Kernel Discriminant Analysis (MKDA) adopts an ensemble of multiple kernel matrices K i s and is supposed to be more flexible and effective than the original Kernel Discriminant Analysis (KDA). However, with n training samples and p kernel matrices K i s, MKDA employs pn 2 space units for all the K i s in the optimizing process and simultaneously depends on...
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