中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 5, 页码: 3675-3690
作者:  
Wang, Qingxian;  Liu, Xinyu;  Shang, Tianqi;  Liu, Zhigang;  Yang, Han
  |  收藏  |  浏览/下载:60/0  |  提交时间:2022/10/14
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文  OAI收割
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  
Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
  |  收藏  |  浏览/下载:45/0  |  提交时间:2022/09/19
Learning Skill Characteristics From Manipulations 期刊论文  OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  
Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Ni, Zhen-Liang;  Zhou, Yan-Jie
  |  收藏  |  浏览/下载:55/0  |  提交时间:2022/06/10
TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization 期刊论文  OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 4, 页码: 3629-3637
作者:  
Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
  |  收藏  |  浏览/下载:52/0  |  提交时间:2021/01/07
Softly Associative Transfer Learning for Cross-Domain Classification 期刊论文  OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 11, 页码: 4709-4721
作者:  
Wang, Deqing;  Lu, Chenwei;  Wu, Junjie;  Liu, Hongfu;  Zhang, Wenjie
  |  收藏  |  浏览/下载:74/0  |  提交时间:2021/12/01
Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文  OAI收割
International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China
Ke H.; You W.
收藏  |  浏览/下载:43/0  |  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.  
an improved parallel algorithm for sequence mining 会议论文  OAI收割
IEEE International Conference on Mechatronics Automation, Niagara Falls, CANADA, JUL 29-AUG
She Chundong; Tang Jian; Li Lei; Wang Hongbing; Fan Zhihua
  |  收藏  |  浏览/下载:16/0  |  提交时间:2011/07/28