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14篇 您的检索式:作者名="Shixiong XIA"
    题名 作者 年代 出处 被引量
1Research on the User Interest Modeling of Personalized Search Engine显示文摘At present,how to enable Search Engine to construct user personal interest model initially,master user's personalized information timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming at the problems of user model's construction and combin-ing techniques of manual customization modeling and automatic analytical modeling,a User Interest Model(UIM) is proposed in the paper. On the basis of it,the corresponding establishment and update algorithms of User Interest Profile(UIP) are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.LI Zhengwei XIA Shixiong NIU Qiang XIA Zhanguo 2007Wuhan University Journal of Natural Sciences2007,12,5:2
2Adaptive weighted learning for linear regression problems via Kull- back-Leiblerdivergence 显示文摘Zhizheng Liang Youfu Li ShiXiong Xia 2013Pattern Recognition2013,,:1
3Application of probabilistic causal-effect model based artificial fish-swarm algorithm for fault diagnosis in mine hoist显示文摘Wang Chujiao Xia Shixiong 2010Journal of So ftware2010,5,5:1
4An improved incremental updating algorithm for the core computation of de- cision table显示文摘NIU Qiang XIA Shixiong TAN Guojun 2009Lecture Notes in Computer Science2009,5855,:1
5An improved KNN text classification algorithm based on clustering 显示文摘ZHOU Yong LI Youwen XIA Shixiong 2009Journal of Computers2009,3,4:1
6An Improved KNN Text Classification Algorithm Based on Clustering显示文摘Zhou Yong Li Youwen Xia Shixiong 2009Journal of Computers2009,,3:1
7Semi- supervised extreme learning machine with manifold and pairwise constraints regularization显示文摘ZHOU Yong LIU Beizuo XIA Shixiong 2015Neurocomputing2015,149,:1
8Application of probabilistic causal-effect model based artificial fish-swarm algorithm for fault diagnosis in mine hoist显示文摘Wang Chujiao Xia Shixiong 2010Journal of Software2010,5,5:1
9Training Lp norm multiple learning in the primal 显示文摘Liang Zhizheng Xia Shixiong Zhou Yong 2013Neural Net- work2013,45,7:1
10Application of probabilistic causal-effect model based artificial fish swarm algorithm for fault diagnosis in mine hoist显示文摘Wang Chujiao Xia Shixiong 2010Journal of Software2010,5,5:1
11An improved KNN text classification algorithm based on clustering显示文摘Zhou Yong Li Youwen Xia Shixiong 2009Journal of Computers2009,4,3:1
12Further study on indecomposable cryptographic functions显示文摘1 Introduction Boolean functions have important applications in stream ciphers and block ciphers.Over the last decades,the constructions of cryptographic Boolean functions have paid a lot of attention[1,2].Direct sum is a well-known secondary construction of cryptographic functions[3].By using the direct sum,a lot of functions with high nonlinearities can be obtained[4,5].However,the direct sum of two functions are decomposable functions,which have numerous null secondorder derivatives(which represents a potential weakness with respect to the higher order differential attack)[6].(In)decomposable functions were also studied in[7]by Zheng and Zhang under the name(non)separable functions.They provided some sufficient conditions that the functions are indecomposable[7].Zhongqiu WANG Shixiong XIA Fengrong ZHANG 2023Frontiers of Computer Science2023,17,2:0
13Further results on constructions of generalized bent Boolean functions显示文摘Dear editor,Boolean bent functions were introduced by Rothaus in 1976 as an interesting combinatorial object with the important property of having optimal nonlinearity[1].Since bent functions have many applications in sequence design,cryptography and algebraic coding,they have been extensively studied during the last thirty years[2,3].Over the past decades,based on bent functions,several constructions of highly nonlinear balanced functions were presented[4,5].Fengrong ZHANG Shixiong XIA Pantelimon STANICA Yu ZHOU 2016Science China(Information Sciences)2016,59,5:0
14Real-Time Visual Tracking with Compact Shape and Color Feature显示文摘The colour feature is often used in the object tracking.The tracking methods extract the colour features of the object and the background,and distinguish them by a classifier.However,these existing methods simply use the colour information of the target pixels and do not consider the shape feature of the target,so that the description capability of the feature is weak.Moreover,incorporating shape information often leads to large feature dimension,which is not conducive to real-time object tracking.Recently,the emergence of visual tracking methods based on deep learning has also greatly increased the demand for computing resources of the algorithm.In this paper,we propose a real-time visual tracking method with compact shape and colour feature,which forms low dimensional compact shape and colour feature by fusing the shape and colour characteristics of the candidate object region,and reduces the dimensionality of the combined feature through the Hash function.The structural classification function is trained and updated online with dynamic data flow for adapting to the new frames.Further,the classification and prediction of the object are carried out with structured classification function.The experimental results demonstrate that the proposed tracker performs superiorly against several state-of-the-art algorithms on the challenging benchmark dataset OTB-100 and OTB-13.Zhenguo Gao Shixiong Xia Yikun Zhang Rui Yao Jiaqi Zhao Qiang Niu Haifeng Jiang 2018Computers, Materials & Continua2018,,6:0
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