作者: Xu, Lin1; Xie, Chao-Fan2; Xu, Lu-Xiong2; Zhang, Fuquan3, 4
出处: 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 Sendai, Japan 2018
会议录: Vol.110 241-248
作者: Xu, Lin1; Wang, Na2; Xie, Chao-Fan2; Xu, Lu-Xiong2; Zhang, Fuquan3, 4
出处: 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 Sendai, Japan 2018
会议录: Vol.110 249-256
作者: Lai, Junjiang1; Zhang, Fuquan2, 3
出处: 2nd International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2018 Mount Emei, China 2018
会议录: Vol.128 178-183
作者: 蔡柳萍1;解辉2;张福泉3;张龙飞3; (1广东技术师范学院天河学院计算机科学与工程学院;2清华大学计算机科学与技术系;3北京理工大学软件学院)
出处: 计算机科学 2018 第45卷 第11期 P256-260
关键词: 大数据;数据挖掘;特征加权;特征提取;稀疏表示
摘要: 为了提高大数据挖掘的效率及准确度,文中将稀疏表示和特征加权运用于大数据处理过程中。首先,采用求解线性方程稀疏解的方式对大数据进行特征分类,在稀疏解的求解过程中利用向量的范数将此过程转化为最优化目标函数的求解。在完成特征分类后进行特征提取以降低数据维度,最后充分结合数据在类中的分布情况进行有效加权来实 ...
作者: Chan Wu;Jian Yang;Jianjun Zhu;Weijian Cong;Danni Ai;Hong Song;Xiaohui Liang;Yongtian Wang (Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100083, China Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China School of Software, Beijing Institute of Technology, Beijing 100081, China State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100083, China Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China)
出处: Computer Methods and Programs in Biomedicine 2018 Vol.163 No.C P123-133
摘要: Highlights • A hybrid constraint optimization (HCO) bidirectional matching algorithm is established using the homographic constraint and the epipolar ...
作者: 庞博1;金乾坤2;合尼古力·吾买尔3;齐兴斌4; (1商丘职业技术学院机电工程系;2北京理工大学软件学院;3南京航空航天大学机电工程学院;4山西大学计算机工程系)
出处: 计算机科学 2018 第45卷 第4期 P143-147
关键词: 软件定义网络;路由优化;QoS约束;网络切片;整数线性规划;Kruskal算法
摘要: 针对软件定义网络(SDN)中数据层的路由优化问题,提出一种基于网络切片和整数线性规划(ILP)多约束优化的路由方案。首先,根据多租户业务的链路需求,基于Kruskal算法对数据层中的链路资源进行网络切片,尽可能形成相互隔离的租户子网络。然后,在考虑链路约束和租户业务的服务质量(QoS)约束下,以最小 ...
作者: 汪梅1;朱亮1;张国强1;王亮1;刘驰2; (1西安科技大学电气与控制工程学院;2北京理工大学软件学院)
出处: 振动、测试与诊断 2018 第38卷 第3期 P479-485
关键词: T型线路;小波变换;能量谱;故障测距
摘要: 针对带T型分支的输电线路的故障判支死区问题,为了实现故障精准定位,提出一种基于小波能量谱的T型输电线路测距新算法。利用三次B样条小波变换模极大值算法提取故障特征,在非死区范围内,由三端测距法即可准确完成故障测距;在死区范围内,通过小波能量谱算法判断故障分支,再利用三端测距法完成故障测距。该算法解决了 ...
作者: Yue Li;Xiaolin Zhao;Chonghan Zeng;Yu Fu;Ning Wang
出处: the 2018 International Conference on Computer Science ,Electronics and Communication Engineering (CSECE2018)(2018年计算机科学、电子与通信工程国际会议) 武汉 2018
会议录: the 2018 International Conference on Computer Science ,Electronics and Communication Engineering (CSECE2018)(2018年计算机科学、电子与通信工程国际会议)论文集
关键词: assessment;network system security;penetration test
摘要: As the development of the information technology,people show strong interest to the emergence of all sorts of convenient and new technologies.However, ...
作者: Hua Wei1,2;Chun Shan3;Changzhen Hu3;Huizhong Sun4;Min Lei4,5; (1School of Computer Science and Technology, Beijing Institute of Technology;2China Information Technology Security Evaluation Center;3Beijing Key Laboratory of Software Security Engineering Technology, School of Software, Beijing Institute of Technology;4Information Security Center, Beijing University of Posts and Telecommunications;5Guizhou University, Guizhou Provincial Key Laboratory of Public Big Data)
出处: China Communications 2018 第15卷 第5期 P173-182
关键词: 预言;模型;软件;分发;SVM;几何结构;数据损失;精确性
摘要: During the prediction of software defect distribution, the data redundancy caused by the multi-dimensional measurement will lead to the decrease of pr ...
作者: Mao, Yu1;Zhang, Fuquanb,c;Xu, Lin4;Zhang, Dakui1;Yang, Hui1; (1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;2School of Software, Beijing Institute of Technology, Beijing, 100081, China;3Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China;4Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China)
出处: Smart Innovation, Systems and Technologies 2018 Vol.86 P265-273
关键词: Bidirectional recommend;Collaborative filtering;EM algorithm;Recommender system
摘要: Collaborative filtering is a promising recommendation technique for predicting the preferences of users in recommender systems. The date coming from r ...