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科研机构
沈阳自动化研究所 [7]
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会议论文 [7]
发表日期
2019 [1]
2018 [4]
2013 [1]
2004 [1]
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内容类型:会议论文
专题:沈阳自动化研究所
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Dual efficient self-attention network for multi-target detection in aerial imagery
会议论文
Shenyang, China, August 28-30, 2019
作者:
Wang SK(王思奎)
;
Liu YP(刘云鹏)
;
Lin ZY(林智远)
;
Zhang ZY(张钟毓)
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/03/22
Target detection
Self-attention block
Deconvolutional module
Semantic features
Hard examples mining
A Comparative Study of Different Feature Extraction Methods for Motor Imagery EEG Decoding within the Same Upper Extremity
会议论文
Xi'an, November 30 - December 2, 2018
作者:
Zou YJ(邹宜君)
;
Zhao YW(赵忆文)
;
Xu WL(徐卫良)
;
Zhang, He
;
Zhao XG(赵新刚)
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2018/12/27
brain-computer interfaces
motor imagery EEG
same upper extremity
feature extraction
common spatial patterns
Design of the Intelligent Manufacturing Demonstration System based on IoT in the Context of Industry 4.0
会议论文
Xi'an, China, December 15-16, 2018
作者:
Zeng P(曾鹏)
;
Xing Y(邢韵)
;
Bai HF(白洪飞)
;
Wang ZN(王智凝)
;
Li ZH(李增辉)
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  |  
浏览/下载:30/0
  |  
提交时间:2019/08/29
Design of the Intelligent Manufacturing Demonstration System based on IoT in the Context of Industry 4.0
会议论文
Changchun, China, July 6-8,2018
作者:
Xing Y(邢韵)
;
Bai HF(白洪飞)
;
Wang ZN(王智凝)
;
Li ZH(李增辉)
;
Liu YY(刘意杨)
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  |  
浏览/下载:74/0
  |  
提交时间:2018/12/25
Industry4.0
Intelligent Manufacturing
Internet of Things
Software Defined Management and Control System
Design of the Intelligent Manufacturing Demonstration System based on IoT in the Context of Industry 4.0
会议论文
Xi'an, China, December 15-16, 2018
作者:
Liu YY(刘意杨)
;
Li ZH(李增辉)
;
Wang ZN(王智凝)
;
Bai HF(白洪飞)
;
Xing Y(邢韵)
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/08/29
A shape context based Hausdorff similarity measure in image matching
会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ma TL(马天磊)
;
Liu YP(刘云鹏)
;
Shi ZL(史泽林)
;
Yin J(尹健)
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  |  
浏览/下载:25/0
  |  
提交时间:2013/12/26
The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.
Application of ARIS business process management framework in NPD context
会议论文
11th International Conference on Concurrent Engineering, Beijing, China, July 26-30, 2004
作者:
Feng GQ(冯国奇)
;
Liu X(刘晓)
;
Wang CE(王成恩)
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  |  
浏览/下载:26/0
  |  
提交时间:2012/06/06
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