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中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
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机器人学研究室 [7]
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韩志 [6]
唐延东 [5]
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Representation Learning Based on Autoencoder and Deep Adaptive Clustering for Image Clustering
期刊论文
Mathematical Problems in Engineering, 2021, 卷号: 2021, 页码: 1-11
Authors:
Yu SQ(余思泉)
;
Liu, Jiaxin
;
Han Z(韩志)
;
Li, Yong
;
(5) Tang YD(唐延东)(2,3)
;
Wu CD(吴成东)
Adobe PDF(6182Kb)
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View/Download:14/0
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Submit date:2021/03/21
Saliency-Based Diver Target Detection and Localization Method
期刊论文
Mathematical Problems in Engineering, 2020, 卷号: 2020, 页码: 1-14
Authors:
Zhu JJ(朱建江 )
;
Yu SQ(余思泉)
;
Gao, Lei
;
Han Z(韩志)
;
Tang YD(唐延东)
Adobe PDF(19521Kb)
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View/Download:115/22
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Submit date:2020/03/22
Image Clustering Based on Multi-Scale Deep Maximize Mutual Information and Self-Training Algorithm
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 160285-160296
Authors:
Yu SQ(余思泉)
;
Shen GP(沈贵萍)
;
Wang PY(王佩瑶)
;
Wang YN(王宇宁)
;
Wu CD(吴成东)
Adobe PDF(3716Kb)
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View/Download:46/3
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Submit date:2020/10/06
Clustering algorithms
Mutual information
Image representation
Neural networks
Clustering methods
Feature extraction
Task analysis
Representation learning
image clustering
mutual information maximization
self-training algorithm
Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 卷号: 2019, 页码: 1-11
Authors:
Zhu JJ(朱建江)
;
Yu SQ(余思泉)
;
Han Z(韩志)
;
Tang YD(唐延东)
;
Wu CD(吴成东)
Adobe PDF(11149Kb)
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View/Download:154/20
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Submit date:2019/03/09
基于对抗生成网络的纹理合成方法
期刊论文
红外与激光工程, 2018, 卷号: 47, 期号: 2, 页码: 43-48
Authors:
余思泉
;
韩志
;
唐延东
;
吴成东
Adobe PDF(555Kb)
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View/Download:477/214
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Submit date:2018/03/25
纹理合成
深度学习
生成模型
对抗生成网络
Active Trace: A Sparse Spatiotemporal Representation for Videos
期刊论文
IEEE Access, 2017, 卷号: 5, 页码: 22433-22442
Authors:
Han Z(韩志)
;
Shen GP(沈贵萍)
;
Yu SQ(余思泉)
;
Ding ND(丁乃达)
;
Tian JD(田建东)
;
Tang YD(唐延东)
Adobe PDF(6522Kb)
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View/Download:233/22
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Submit date:2017/11/15
Active Trace
Video Modeling
Sparse Representation
Tracking
Action Template
Mine like object detection and recognition based on intrackability and improved BOW
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
Authors:
Yu SQ(余思泉)
;
Shao, Jinxin
;
Han Z(韩志)
;
Gao L(高雷)
;
Lin Y(林扬)
;
Tang YD(唐延东)
;
Wu CD(吴成东)
Adobe PDF(396Kb)
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View/Download:287/80
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Submit date:2016/11/06