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Multiple kernel learning (MKL) methods is widely used in object detection. The conventional MKL methods employ a linear and stationary kernel combination format which cannot accurately describe the distributions of complex data. This paper proposes an E2LSH based clustering algorithm which combines the advantages of nonlinear multiple kernel combination methods—E2LSH-MKL. E2LSH-MKL is a nonlinear...
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