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一种新颖的深度因果图建模及其故障诊断方法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 6, 页码: 1616-1624
Authors:  唐鹏;  彭开香;  董洁
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深度因果图模型  故障检测  根源诊断  传播路径辨识  Group Lasso  
工业过程故障根源诊断与传播路径识别技术综述 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 7, 页码: 1650-1663
Authors:  马亮;  彭开香;  董洁
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根源诊断  传播路径识别  因果关系分析  故障诊断  工业过程  
一种面向工业过程的质量异常检测与故障量化评估方法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 10, 页码: 2406-2415
Authors:  董洁;  张伟;  彭开香;  马亮
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质量异常检测  支持向量数据描述  故障量化评估  局部线性嵌入  工业过程  
Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic Algorithm 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 267-276
Authors:  Dong-Jie Li;  Yang-Yang Li;  Jun-Xiang Li;  Yu Fu
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Gesture recognition  back propagation (BP) neural network  chaos algorithm  genetic algorithm  data glove.  
Locator slope calculation via deep representations based on monocular vision 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 期号: 7, 页码: 2781-2794
Authors:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Chen, Dongjie
Adobe PDF(4398Kb)  |  Favorite  |  View/Download:280/54  |  Submit date:2019/12/16
Slope calculation  Locator detection  Convolution neural networks  Monocular vision  
Locator slope calculation via deep representation based on monocular vision 期刊论文
Neural Computing and Applications, 2017, 期号: 10, 页码: 1-12
Authors:  Yang Y(杨阳);  Zhang WS(张文生);  He ZW(何泽文);  Chen DJ(陈东杰);  Zhang WS(张文生)
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Slope Calculation  Locator Detection  Convolution Neural Networks  Monocular Vision  
高铁接触网在途检测与跟踪算法研究 学位论文
, 北京: 中国科学院大学, 2017
Authors:  陈东杰
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高铁接触网  目标检测  目标跟踪  深度学习  场景文本识别  
High-speed Railway Real-time Localization Auxiliary Method based on Deep Neural Network 会议论文
, Athens,Greece, 2017-4-15
Authors:  Dongjie Chen;  Wensheng Zhang;  Yang Yang
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A SVM-based classifier with shape and motion features for a pedestrian detection system 会议论文
2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM, Meguroku, JAPAN, JUN 13-15, 2006
Authors:  Chen, D.;  Cao, X. B.;  Xu, Y. X.;  Qiao, H.;  Wang, F. Y.
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Image Classification / Image Motion Analysis / Object Detection / Support Vector Machines / Traffic Engineering Computing / Svm-based Classifier / Decomposed Svm Algorithm / Motion Features / Pedestrian Detection System / Shape Features  
A multiclass classifier to detect pedestrians and acquire their moving styles 期刊论文
INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS, 2006, 卷号: 3975, 期号: 无, 页码: 758-759
Authors:  Chen, D.;  Cao, X. B.;  Qiao, H.;  Wang, F. Y.;  Mehrotra, S;  Zeng, DD;  Chen, H;  Thuraisingham, B;  Wang, FY;  Chen, D
Favorite  |  View/Download:214/0  |  Submit date:2015/11/07