The　Fast　Blind　Equalization　Algorithm　with　Global　Convergence by Lu Jun Li Tong (Institute of Information and Engineering of PLA, Zhengzhou 450002)

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Probabilistic decoding algorithm for quantum stabilizer codes by XIAO Fang-ying, CHEN Han-wu

“…To improve the performance of quantum decoding algorithm,a quantum probabilistic decoding algorithm（QPDA） based on the check matrix for quantum stabilizer codes was proposed.To achieve low error rates the error op-erator with the minimum quantum weight was chosen and to shorten the time of decoding a quantum standard array（QSA） was constructed before decoding.Comparing with the quantum maximum likelihood decoding algorithm,the QPAD improves the reliability of degenerate decoding due to uniform decoding methods for degenerate and non-degenerate codes,furthermore,has less complexity due to does not require pre-search the bases of vector space cor-responding to the error operator.…”
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Shape detection algorithm applicable to solar estimation by J. M. Aguilar-López, R. A. García, E. F. Camacho

“…This paper presents a bio-inspired hybrid algorithm for shape detection applicable to solar estimation in solar power plants. …”
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Large Linguistic Corpus Reduction with SCP Algorithms by Nelly Barbot, Olivier Boëffard, Jonathan Chevelu, Arnaud Delhay

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Review on algorithms of dealing with depressions in grid DEM by Yi-Jie Wang, Cheng-Zhi Qin, A-Xing Zhu

“…Existing ways of improving the computation efficiency of depression-processing algorithms are also presented, i.e. serial algorithm optimization and parallel algorithms. …”
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An Evolved Wavelet Library Based on Genetic Algorithm by D. Vaithiyanathan, R. Seshasayanan, K. Kunaraj, J. Keerthiga

“…As the size of the images being captured increases, there is a need for a robust algorithm for image compression which satiates the bandwidth limitation of the transmitted channels and preserves the image resolution without considerable loss in the image quality. …”
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Novel and Efficient Randomized Algorithms for Feature Selection by Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran

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An overview on algorithms and applications of deep reinforcement learning by Zhaoyang LIU, Chaoxu MU, Changyin SUN

“…Deep reinforcement learning (DRL) is mainly applied to solve the perception-decision problem, and has become an important research branch in the field of artificial intelligence.Two kinds of DRL algorithms based on value function and policy gradient were summarized, including deep Q network, policy gradient as well as related developed algorithms.In addition, the applications of DRL in video games, navigation, multi-agent cooperation and recommendation field were intensively reviewed.Finally, a prospect for the future research of DRL was made, and some research suggestions were given.…”
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Web Pages Ranking Algorithms: A Survey by Ayad Abdulrahman

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Optimization of the learning rate in the algorithm for data visualization by Viktor Medvedev, Gintautas Dzemyda

“…The paper describes an unsupervised backpropagation algorithm to train a multilayer feed-forward neural network (SAMANN) to perform the Sammon‘s nonlinear projection. …”
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Performance Evaluation of LMS and CM Algorithms for Beamforming by Mossaab Atzemourt, Abdelmajid Farchi, Younes Chihab, Zakaria Hachkar

“…In this paper, we compare the performances of the least mean square (LMS) and constant modulus (CM) algorithms for beamforming. Our interest in these algorithms finds its origins in their reliability as a source-receiver pair. …”
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Inverse scattering transform algorithm for the Manakov system by A.E. Chernyavsky, L.L. Frumin

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Research on high security G function algorithm by Rui CHEN, Zan LI, Jia SHI, Lei GUAN

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Intelligent Load Balancing Algorithm of Mega Constellation by Shuxin LUO, Chao ZHANG, Yong XIAO, Jianping LIU

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Trajectory clustering algorithm based on structural similarity by YUAN Guan, XIA Shi-xiong, ZHANG Lei, ZHOU Yong

“…For current trajectory clustering algorithms,most of them group full trajectories as basic units,and lead the low efficient results.Aiming at this problem,a trajectory clustering algorithm based on structural similarity was proposed.By introducing a new concept of trajectory structure and presenting structural similarity function,the internal and external features of trajectories were analyzed.The algorithm first partitioned trajectories into trajectory segments according to corner;then computed the matching degree between every trajectory segment pairs by comparing their structure features;finally grouped trajectories into clusters.Experiment results on real data set demonstrate not only the efficiency and effectiveness of the algorithm,but also the flexibility that feature sensitivity can be adjusted by different parameters.…”
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Algorithmic Methods in Wireless Sensor Network 2014 by Haigang Gong, Dajin Wang, Shigeng Zhang, Nianbo Liu

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An overview of ultra-wideband indoor positioning algorithms by Hongmei ZHAO, Jielei ZHAO

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Proof of work algorithm based on credit model by Zuan WANG, Youliang TIAN, Qiuxian LI, Xinhuan YANG

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An Augmented Lagrangian Algorithm for Solving Semiinfinite Programming by Qian Liu, Changyu Wang

“…We present a smooth augmented Lagrangian algorithm for semiinfinite programming (SIP). For this algorithm, we establish a perturbation theorem under mild conditions. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…Algorithms…”
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