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大连理工大学 [2]
长春光学精密机械与物... [1]
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Influence maximization in human-intervened social networks
会议论文
Buenos Aires, Argentina, 2015.7.27-2015.7.31
作者:
You Q(游强)
;
Hu WM(胡卫明)
;
Wu O(吴偶)
;
You Q(游强)
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浏览/下载:16/0
  |  
提交时间:2016/06/29
Influence Maximization
Human-intervened
Social Networks
A Research on the Influential Factors to Organizational Commitment in IT Industry
会议论文
International Conference on Management Engineering and Management Innovation (ICMEMI), Changsha, PEOPLES R CHINA, 2015-01-01
作者:
Huang, Xing-Yuan
;
Wang, Qian
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浏览/下载:5/0
  |  
提交时间:2019/12/09
Organizational commitment
The influence factors to organizational commitment
Human resources management
Chinese Women's Struggle for Human Rights under the Influence of Marxist Ideology in the Early 20th Century
会议论文
3rd International Conference on Management, Education, Information and Control (MEICI), Shenyang, PEOPLES R CHINA, 2015-01-01
作者:
Zhang, Lulu
;
Hong, Xiaonan
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Marxist Ideology
Influence
Women's Human Rights
Awake
Struggle
An Empirical Research on Influence Factors of Innovative Enterprise Strategic Human Resource Management
会议论文
作者:
Chen Yalan
;
Lv Linfeng
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浏览/下载:8/0
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提交时间:2019/11/21
innovative enterprise
influence factors
strategic human resource management
Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE)
会议论文
International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China
Ke H.
;
You W.
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浏览/下载:27/0
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提交时间:2013/03/25
The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense
economy
education
culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated
task of basic shape extraction
object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.
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