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检索条件"机构=School of Computer and Software & Jiangsu Engineering Center of Network Monitoring"
246 条 记 录,以下是241-250 订阅
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A comparative study of quantum evolutionary algorithm and particle swarm optimization for numerical optimization problems
International Journal of Digital Content Technology and its ...
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International Journal of Digital Content Technology and its Applications 2011年 第7期5卷 182-190页
作者: Ma, Tinghuai Yan, Qiaoqiao Xuan, Wenxia Wang, Bin Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology China National Meteorological Information Centre Chinese Meteorological Administration China
Quantum evolutionary algorithm (QEA) and particle swarm optimization (PSO) are two different types of intelligent optimization algorithm. Many efforts on these two algorithms have progressed actively in recent years. ... 详细信息
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Kernel-based motion-blurred target tracking
Kernel-based motion-blurred target tracking
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7th International Symposium on Visual Computing, ISVC 2011
作者: Wu, Yi Hu, Jing Li, Feng Cheng, Erkang Yu, Jingyi Ling, Haibin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Center for Information Science and Technology Computer and Information Science Department Temple University Philadelphia PA United States Department of Computer and Information Sciences University of Delaware Newark DE 19716 United States Network Center Nanjing University of Information Science and Technology Nanjing 210044 China
Motion blurs are pervasive in real captured video data, especially for hand-held cameras and smartphone cameras because of their low frame rate and material quality. This paper presents a novel Kernel-based motion-Blu... 详细信息
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Study on information acquisition of Deep Web based on LRL
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Journal of Computational Information Systems 2011年 第15期7卷 5469-5475页
作者: Fang, Wei Wen, Xuezhi Pan, Wubin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China
Deep Web information is heterogeneous and dynamic. How to make use of this information effectively is a challenging task. In order to obtain the newest content in the Deep Web, a data generative model of Deep Web has ... 详细信息
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A novel method on incremental information acquisition for deep web
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Journal of Convergence Information Technology 2011年 第6期6卷 383-389页
作者: Wei, Fang Wu-bin, Pan Zhi-Ming, Cui Jiangsu Engineering Center of Network Monitoring NanJing University of Information Science and Technology NanJing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China JiangSu Province Support Software Engineering R and D Center for Information Technology Application in Enterprise Suzhou China
Deep Web is autonomous, independently updating, and its data are always in a state of frequent update. However, the user always hopes to obtain the newest content in the current Web database. Different from previous r... 详细信息
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Hybrid Multiplicative Watermarking and Its Decoders
Hybrid Multiplicative Watermarking and Its Decoders
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International Conference on Multimedia Information networking and Security (MINES)
作者: Jinwei Wang Shiguo Lian Leiming Yan Yuxiang Wang Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China France Telecom Research and Development Orange Laboratories Beijing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China
With the rapid development and the richer content of the Internet, the copyright protection of the works should be further developed. The watermarking has become a possible solution. In this paper, firstly, a novel hy... 详细信息
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Design and Implementation of an Audio Classification System Based on SVM
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Procedia engineering 2011年 15卷 4031-4035页
作者: Wang Shuiping Tang Zhenming Li Shiqiang School of Computer Science & Technology Nanjing University of Science & Technology Nanjing210094 China School of Computer Science & Technology Nanjing University of Information Science & Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China
Time-domain and frequency-domain features were extracted. The research of process and architecture of an audio classification system based on SVM was done, and the SVM audio classifier was designed. The results of exp... 详细信息
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