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why6116木虫 (小有名气)
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[求助]
麻烦帮忙查询下文章被EI或者CPCI检索了吗？感谢
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论文EI或者CPCI-SSH检索了吗？ A new similarity measure for the Context quantization based on the statistic counting model 作者：Fuyan Wang , Min Chen，... doi:10.2991/lemcs-15.2015.362 International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015) |
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baiyuefei
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0 articles found in Compendex for 1969-2017: ((A new similarity measure for the Context quantization based on the statistic counting model) WN KY) EI 按你标题检索，我是暂未检索到啊 |
2楼2016-10-15 07:24:04
sunshan4379
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why6116(lazy锦溪代发): 金币+5 2016-10-17 16:45:13
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感谢参与，应助指数 +1
why6116(lazy锦溪代发): 金币+5 2016-10-17 16:45:13
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恭喜已被CPCI收录 具体如下 A new Similarity Measure for the Context Quantization based on the Statistic Counting Model 作者:Wang, FY (Wang, Fuyan)[ 1 ] ; Chen, M (Chen, Min)[ 2 ] ; Zhang, YP (Zhang, Yiping)[ 3 ] ; Zhao, Q (Zhao, Qin)[ 1 ] 编者:Yingying, S; Guiran, C; Zhen, L PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) 丛书: Advances in Intelligent Systems Research 卷: 117 页: 1797-1800 出版年: 2015 会议名称 会议: International Conference on Logistics Engineering, Management and Computer Science (LEMCS) 会议地点: Shenyang, PEOPLES R CHINA 会议日期: JUL 29-31, 2015 摘要 In this paper, one new similarity measure which holds better mathematical description is given and discussed in details. The increment of the amazing measure, which denotes the similarity measure between two count vectors is discussed in this paper and its corresponding properties are also explained. We also give the analysis and the proof to explain the efficiency of the proposed similarity measure. The experimental results indicate that when using the proposed similarity measure, the corresponding results for different applications can be optimized. 关键词 作者关键词:Similarity measure; Context modeling; Amazing measure; description length KeyWords Plus:COMPRESSION 作者信息 通讯作者地址: Chen, M (通讯作者) Yunnan Police Coll, Informat Secur Coll, Kunming, Peoples R China. 地址: [ 1 ] Kunming Univ, Informat & Technol Coll, Kunming, Peoples R China [ 2 ] Yunnan Police Coll, Informat Secur Coll, Kunming, Peoples R China [ 3 ] Yunnan Police Coll, Dept Technol & Sci, Kunming, Peoples R China 电子邮件地址:4626747@qq.com; zhangyiping_001@163.com; minkeychen@sina.cn; painkiller5230@qq.com 出版商 ATLANTIS PRESS, 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE 类别 / 分类 研究方向:Computer Science; Business & Economics; Operations Research & Management Science Web of Science 类别:Computer Science, Artificial Intelligence; Management; Operations Research & Management Science 文献信息 文献类型  roceedings Paper语种:English 入藏号: WOS:000373107000366 ISBN:978-94-6252-102-5 ISSN: 1951-6851 其他信息 IDS 号: BE5OK Web of Science 核心合集中的 "引用的参考文献": 12 Web of Science 核心合集中的 "被引频次": 0 |
3楼2016-10-16 10:41:36
