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12条,第1-10条 帮助

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Face Recognition Based on SVM Optimized by the Improved Bacterial Foraging Optimization Algorithm 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33, 期号: 7, 页码: 17
作者:  
Zeng, Zhigao;  Guan, Lianghua;  Zhu, Wenqiu;  Dong, Jing;  Li, Jun
  |  收藏  |  浏览/下载:62/0  |  提交时间:2019/09/30
Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction 期刊论文  OAI收割
BMC Genomics, 2018, 卷号: 19, 期号: 1
作者:  
Yu,Bin;  Li,Shan;  Qiu,Wenying;  Wang,Minghui;  Du,Junwei
  |  收藏  |  浏览/下载:63/0  |  提交时间:2018/07/30
Smile Recognition Based on Support Vector Machine and Local Binary Pattern 会议论文  OAI收割
Tianjin, China, July 19-23, 2018
作者:  
Zhao YW(赵忆文);  Zhao XG(赵新刚);  Huang Z(黄钲);  Song GL(宋国立);  Han JD(韩建达)
  |  收藏  |  浏览/下载:31/0  |  提交时间:2018/12/27
LS-SVM-based image segmentation using pixel color-texture descriptors 期刊论文  OAI收割
PATTERN ANALYSIS AND APPLICATIONS, 2014, 卷号: 17, 期号: 2, 页码: 341-359
Yang, Hong-Ying; Zhang, Xian-Jin; Wang, Xiang-Yang
  |  收藏  |  浏览/下载:23/0  |  提交时间:2014/12/16
Local Responses to Macro Development Policies and Their Effects on Rural System in China’s Mountainous Regions: The Case of Shuanghe Village in Sichuan Province 期刊论文  OAI收割
Journal of Mountain Science, 2013, 卷号: 10, 期号: 4, 页码: 588-608
LI Yu-rui; LIU Yan-sui; LONG Hua-lou; WANG Jie-yong
收藏  |  浏览/下载:31/0  |  提交时间:2013/07/15
Local responses to macro development policies and their effects on rural system in China's mountainous regions: the case of Shuanghe Village in Sichuan Province SCI/SSCI论文  OAI收割
2013
Li Y. R.; Liu Y. S.; Long H. L.; Wang J. Y.
收藏  |  浏览/下载:29/0  |  提交时间:2014/12/24
Local responses to macro development policies and their effects on rural system in China's mountainous regions: the case of Shuanghe Village in Sichuan Province 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2013, 卷号: 10, 期号: 4, 页码: 588-608
作者:  
Li, YuRui(李裕瑞);  Liu, YS;  Long, HL;  Wang, JY
  |  收藏  |  浏览/下载:18/0  |  提交时间:2013/11/12
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  
Gao X.;  Yu P.;  Yu P.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.  
LOCAL POLITICAL TRUST: THE ANTECEDENTS AND EFFECTS ON EARTHQUAKE VICTIMS' CHOICE FOR ALLOCATION OF RESOURCES 期刊论文  OAI收割
SOCIAL BEHAVIOR AND PERSONALITY, 2010, 卷号: 38, 期号: 7, 页码: 929-939
作者:  
Zhang, Qi;  Wang, Erping
收藏  |  浏览/下载:23/0  |  提交时间:2015/09/14
Local political trust: The antecedents of and effects on earthquake victims; choice for allocation of resources 期刊论文  OAI收割
SOCIAL BEHAVIOR AND PERSONALITY, 2010, 卷号: 38, 期号: 7, 页码: 929-940
作者:  
Zhang Q(张琦);  Wang EP(王二平)
  |  收藏  |  浏览/下载:17/0  |  提交时间:2011/12/02