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18条,第1-10条 帮助

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A new fast search algorithm for exact k-nearest neighbors based on optimal triangle-inequality-based check strategy 期刊论文  OAI收割
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 189, 页码: 11
作者:  
Pan, Yiwei;  Pan, Zhibin;  Wang, Yikun;  Wang, Wei
  |  收藏  |  浏览/下载:52/0  |  提交时间:2020/03/30
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 4, 页码: 688-701
作者:  
Yuan, Yong;  Zeng, Daniel;  Zhao, Huimin;  Li, Linjing
收藏  |  浏览/下载:28/0  |  提交时间:2015/09/21
A stochastic model for budget distribution over time in search advertisements 会议论文  OAI收割
Qingdao, China, October 8-10, 2014
作者:  
Qin, Rui;  Yuan, Yong
  |  收藏  |  浏览/下载:25/0  |  提交时间:2016/06/20
Budget Planning for Coupled Campaigns in Sponsored Search Auctions 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2014, 卷号: 18, 期号: 3, 页码: 39-65
作者:  
Yang, Yanwu;  Qin, Rui;  Jansen, Bernard J.;  Zhang, Jie;  Zeng, Daniel
收藏  |  浏览/下载:32/0  |  提交时间:2015/08/12
Budget Strategy in Uncertain Environments of Search Auctions: A Preliminary Investigation 期刊论文  OAI收割
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2013, 卷号: 6, 期号: 2, 页码: 168-176
作者:  
Yang, Yanwu;  Zhang, Jie;  Qin, Rui;  Li, Juanjuan;  Liu, Baiyu
收藏  |  浏览/下载:60/0  |  提交时间:2015/08/12
A Budget Optimization Framework for Search Advertisements Across Markets 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2012, 卷号: 42, 期号: 5, 页码: 1141-1151
作者:  
Yang, Yanwu;  Zhang, Jie;  Qin, Rui;  Li, Juanjuan;  Wang, Fei-Yue
收藏  |  浏览/下载:33/0  |  提交时间:2015/08/12
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.  
A stochastic model of temporal slot budget for sequential distribution in search advertisements 会议论文  OAI收割
Hunan, China, Nov. 5-6, 2011
作者:  
Qin, Rui;  Yang, Yanwu;  Rui QIn
  |  收藏  |  浏览/下载:15/0  |  提交时间:2016/06/20
Improved fourier descriptors in model-based pose estimation 会议论文  OAI收割
mippr 2011: pattern recognition and computer vision, guilin, china, november 4, 2011 - november 6, 2013
TangHui-Jun; WenJia; MaCai-Wen; HuHai-Bin; ZhouRen-Kui
收藏  |  浏览/下载:20/0  |  提交时间:2012/07/09
An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Yang Q.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25