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A new similarity measure for the Context quantization based on the statistic counting model
×÷ÕߣºFuyan 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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A new Similarity Measure for the Context Quantization based on the Statistic Counting Model
×÷Õß:Wang, FY (Wang, Fuyan)[ 1 ] ; Chen, M (Chen, Min)[ 2 ] ; Zhang, YP (Zhang, Yiping)[ 3 ] ; Zhao, Q (Zhao, Qin)[ 1 ]
±àÕß:Yingying, S; Guiran, C; Zhen, L
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015)
´ÔÊé: Advances in Intelligent Systems Research
¾í: 117  Ò³: 1797-1800
³ö°æÄê: 2015
»áÒéÃû³Æ
»áÒé: International Conference on Logistics Engineering, Management and Computer Science (LEMCS)
»áÒ鵨µã: Shenyang, PEOPLES R CHINA
»áÒéÈÕÆÚ: JUL 29-31, 2015
ÕªÒª
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.
¹Ø¼ü´Ê
×÷Õ߹ؼü´Ê:Similarity measure; Context modeling; Amazing measure; description length
KeyWords Plus:COMPRESSION
×÷ÕßÐÅÏ¢
ͨѶ×÷ÕßµØÖ·: Chen, M (ͨѶ×÷Õß)
              Yunnan Police Coll, Informat Secur Coll, Kunming, Peoples R China.
µØÖ·:
              [ 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
µç×ÓÓʼþµØÖ·:4626747@qq.com; zhangyiping_001@163.com; minkeychen@sina.cn; painkiller5230@qq.com
³ö°æÉÌ
ATLANTIS PRESS, 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
Àà±ð / ·ÖÀà
Ñо¿·½Ïò:Computer Science; Business & Economics; Operations Research & Management Science
Web of Science Àà±ð:Computer Science, Artificial Intelligence; Management; Operations Research & Management Science
ÎÄÏ×ÐÅÏ¢
ÎÄÏ×ÀàÐÍroceedings Paper
ÓïÖÖ:English
Èë²ØºÅ: WOS:000373107000366
ISBN:978-94-6252-102-5
ISSN: 1951-6851
ÆäËûÐÅÏ¢
IDS ºÅ: BE5OK
Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 12
Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0
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