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This work is supported by National Natural Science Foun-dation of China(No.11971171);the 111 Project(B14019)and Project of National Social Science Fund of China(15BTJ027);Weidong Liu’s research is supported by National Program on Key Basic Research Project(973 Program,2018AAA0100704);National Natural Science Foundation of China(No.11825104,11690013);Youth Talent Sup-port Program,and a grant from Australian Research Council.Hansheng Wang’s research is partially supported by National Natural Science Foundation of China(No.11831008,11525101,71532001);It is also supported in part by China’s National Key Research Special Program(No.2016YFC0207704).
The rapid emergence of massive datasets in various fields poses a serious challenge to tra-ditional statistical methods.Meanwhile,it provides opportunities for researchers to develop novel algorithms.Inspired by the i...
supported by the National Natural Science Foundation of China(No.61672533)
Keccak is the final winner of SHA-3 competition and it can be used as message authentic codes as well.The basic and balanced divide-and-conquer attacks on Keccak-MAC were proposed by Dinur et al.at Eurocrypt 2015.The ...
Background: We sought to verify the efficacy and safety of transconjunctival 23-gauge pars plana vitrectomy (PPV) alone by our bimanual technique for the removal of dense posteriorly dislocated crystalline lens. Metho...
This study is supported jointly by the Fundamental Research Funds for the Central Universities, the Key Project of National Natural Science Foundation of China [grant number 41331175, and the LIESMARS Special Research Funding
Big data have 4V characteristics of volume, variety, velocity, and veracity, which authentically calls for big data analytics. However, what are the dominant characteristics of big data analysis? Here, the analytics i...
the support by the Director,Oice of Science,Oice of Basic Energy Science,Materials Science and Engineering Division,of the US Department of Energy under Contract No.DE-AC02–05CH11231through the heory of Materials program at Lawrence Berkeley National Laboratory
Recent developments in large-scale materials science simulations,especially under the divide-and-conquer method,are reviewed.he pros and cons of the divide-and-conquer method are discussed.It is argued that the divide...
Supported by the Special Fund of Financial Support for Development of Local Universities in China(2012-140 &2012-118);The Science and Technology Foundation of Guizhou Provincial([2011] 2213);Natural Sciences Research Foundation of Guizhou Normal University for Student(201219)
To solve the problem of the design of classifier in network threat detection, we conduct a simulation experiment for the parameters’ optimal on least squares support vector machine (LSSVM) using the classic PSO alg...
supported by the National Science and Technology Major Project(2011ZX03001-007-03);the National Natural Science Foundation of China(61271182)
To take advantage of the multiuser diversity resulted from the variation in channel conditions among the users, it has become an interesting and challenging problem to efficiently allocate the resources such as subcar...
Project (No. 9140C1204060809) supported by the National Key Laboratory Foundation of China
Density-based nonparametric clustering techniques,such as the mean shift algorithm,are well known for their flexibility and effectiveness in real-world vision-based problems.The underlying kernel density estimation pr...
This work is partially supported by Utah State University under Grant No.A13501.
We improve the famous divide-and-conquer algorithm by Bentley and Shamos for the planar closest-pair problem. For n points on the plane, our algorithm keeps the optimal O(n log n) time complexity and, using a circle...