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To support emerging pairing-based protocols related to cloud computing, an efficient algorithm/hardware codesign methodology of $\eta_{T}$ pairing over characteristic three is presented. By mathematical manipulation and hardware scheduling, a single Miller's loop can be executed within 17 clock cycles. Furthermore, we employ torus representation and exploit the Frobenius map to lower the computation...
Kernel learning is an important research topic in the machine learning area. Research on self-optimization learning of kernel function and its parameter has an important theoretical value for solving the kernel selection problem widely endured by kernel learning machine, and has the same important practical meaning for the improving of kernel learning systems. In this paper, we focus on two schemes:...
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