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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Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images 期刊论文  OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 349, 页码: 13
作者:  
Zhang, Chenchen;  Xiao, Xiangming;  Wang, Xinxin;  Qin, Yuanwei;  Doughty, Russell
  |  收藏  |  浏览/下载:28/0  |  提交时间:2024/01/22
ModuleNet: Knowledge-Inherited Neural Architecture Search 期刊论文  OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:  
Chen, Yaran;  Gao, Ruiyuan;  Liu, Fenggang;  Zhao, Dongbin
  |  收藏  |  浏览/下载:28/0  |  提交时间:2022/01/27
Method of tacit knowledge discovery based on domain knowledge under driven of problems (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Computer Science and Information Processing, CSIP 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaanxi, China
作者:  
Wang Y.-C.;  Wang Y.-C.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
The design and implement of E-government information system based on knowledge management (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者:  
Wang Y.-C.;  Wang Y.-C.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.; Han Q.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute  most of them need plenty of samples and prior Knowledge. In this paper  within a few evident samples (not too many)  we can first get the texture feature of each component and the structures  then select the approximately location randomly of the objects or patches of them  then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.  
An algorithm of Bayesian networks parameters learning based on confidence interval (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
the evolutionary approach to semantics-driven cbd automation 会议论文  OAI收割
Joint Meeting of the 28th EUROMICRO Conference/EUROMICRO Symposium on Digital System Design, DORTMUND, GERMANY, SEP 04-06,
Jia Y; Tan M; Gu YQ
  |  收藏  |  浏览/下载:21/0  |  提交时间:2011/07/29