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Path planning for swarm AUV visiting communication node 会议论文
Shenyang, China, August 8-11, 2019
作者:  Xu HL(徐红丽);  Geng C(耿超);  Li GN(李冠男)
收藏  |  浏览/下载：14/0  |  提交时间：2019/09/05
Path planning for swarm AUV visiting communication node 会议论文
Shenyang, China, August 8-11, 2019
作者:  Geng C(耿超);  Li GN(李冠男);  Xu HL(徐红丽)
收藏  |  浏览/下载：2/0  |  提交时间：2019/09/05
A method of designing water-cooled horizontal array diode lasers for uniform junction temperature 会议论文
Beijing, China, 2018-10-12
作者:  Wu, Di-Hai;  Zah, Chung-En;  Liu, Xingsheng
收藏  |  浏览/下载：23/0  |  提交时间：2019/03/07
A new nearest neighbor classifier based on multi-harmonic mean distances 会议论文
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC), 2017-01-01
作者:  Ma, Hongxing[1];  Gou, Jianping[2];  Ou, Weihua[3];  Zeng, Shaoning[4];  Rao, Yunbo[5]
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/24
Flexible flow shop equipment utilization rate with time window constraints scheduling optimization problems 会议论文
6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016, Chengdu, China, June 19-22, 2016
作者:  Han ZH(韩忠华);  Sun, Yue;  Xu, Ce;  Dong XT(董晓婷);  Lv, Zhe
收藏  |  浏览/下载：16/0  |  提交时间：2016/11/06
LOCAL DECISION MAXIMUM MARGIN METRIC LEARNING FOR HYPERSPECTRAL TARGET DETECTION 会议论文
作者:  Dong, Yanni;  Du, Bo;  Zhang, Lefei;  Zhang, Liangpei
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05
A Novel Multimodal-Problem-Oriented Particle Swarm Optimization Algorithm 会议论文
作者:  Ren, Zhigang;  Wang, Muyi;  Wu, Jie
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/10
Data Association for A Hybrid Metric Map Representation 会议论文
IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2012), Hamburg, Germany, September 13-15, 2012
作者:  Ma SG(马书根);  Guo S(郭帅);  Wang MH(王明辉);  Li B(李斌)
收藏  |  浏览/下载：10/0  |  提交时间：2012/12/28
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
Gao X.; Yu P.; Mao W.; Peng D.
收藏  |  浏览/下载：15/0  |  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 coarse to fine facial key landmark points locating algorithm based on active shape model 会议论文
Macau, China, December 4, 2012 - December 7, 2012
作者:  Fan, Bo;  Yang, Xiaokang;  Zhou, Xi;  Lin, Weiyao;  Chen, Changjian
收藏  |  浏览/下载：11/0  |  提交时间：2018/03/16

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