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Multiple kernel methods are superior to single kernel methods on treating multiple, heterogeneous data sources. Different from the existing multiple kernel methods which mainly work in implicit kernel space, we propose a novel multiple kernel method in empirical kernel mapping space. In empirical kernel mapping space, the combination of kernels can be treated as the weighted fusion of empirical kernel...
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