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- W2079825755 abstract "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 mapping samples. Based this fact, we developed a multiple kernel Fisher method to realize multiple kernel classification in empirical kernel mapping space. The experiments here illustrate that the proposed multiple kernel fisher method is feasible and effective." @default.
- W2079825755 created "2016-06-24" @default.
- W2079825755 creator A5065368480 @default.
- W2079825755 date "2013-07-01" @default.
- W2079825755 modified "2023-09-27" @default.
- W2079825755 title "Multiple Kernel Feature Fusion Using Kernel Fisher Method" @default.
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- W2079825755 doi "https://doi.org/10.4028/www.scientific.net/amm.333-335.1406" @default.
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