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北京航空航天大学 [4]
长春光学精密机械与物... [1]
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会议论文 [3]
期刊论文 [2]
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2022 [1]
2019 [3]
2018 [1]
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Accelerating temporal action proposal generation via high performance computing
期刊论文
Frontiers of Computer Science, 2022, 卷号: 16, 期号: 4, 页码: 10
作者:
T. Wang
;
S. Y. Lei
;
Y. Y. Jiang
;
C. Chang
;
H. Snoussi
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/06/13
HE-SLAM: A Stereo SLAM System Based on Histogram Equalization and ORB Features
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Fang, Y.
;
Shan, G.
;
Wang, T.
;
Li, X.
;
Liu, W.
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  |  
浏览/下载:22/0
  |  
提交时间:2019/12/30
Equalizers
Feature extraction
Graphic methods
Image enhancement
Light sources
Histogram equalizations
Key frame selection
Low contrast image
Mean square root error
ORB features
Real time performance
State-of-the-art methods
Visual SLAM
Stereo image processing
Region Based Ensemble Learning Network for Fine-Grained Classification
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Li, W.
;
Wang, T.
;
Zhang, M.
;
Wang, C.
;
Shan, G.
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Learning systems
Remote sensing
Semantics
Detection modules
Ensemble learning
Fine grained
Region detection
Remote sensing images
Research topics
Scene recognition
Sub classifiers
Classification (of information)
Optimal Look-ahead Control of CSPS System by Deep Q-Network and Profit Sharing
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Cheng, J.
;
Wang, T.
;
Dai, P.
;
Yang, Y.
;
Ren, L.
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/30
Cost reduction
Learning algorithms
Learning systems
Profitability
Stability criteria
Wages
Convergence results
Evaluation criteria
Intelligent Algorithms
Learning efficiency
Learning process
Look-ahead control
Processing rates
Profit sharing
Numerical control systems
Data-driven prognostic method based on self-supervised learning approaches for fault detection
期刊论文
Journal of Intelligent Manufacturing, 2018, 页码: 1-9
作者:
Wang, T.
;
Qiao, M.
;
Zhang, M.
;
Yang, Y.
;
Snoussi, H.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Systems engineering
Data-driven methods
Data-driven prognostics
Kernel PCA
Principal Components
Prognostics and health managements
Reconstruction error
Self-supervised
Supervised learning approaches
Fault detection
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