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基于统计分析的视频去噪与表达建模 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  沈贵萍
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噪声建模  前景建模  低秩分解  稀疏表达  主动轨迹  
Robust video denoising with sparse and dense noise modelings 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 1, 页码: 1-3
Authors:  Shen GP(沈贵萍);  Han Z(韩志);  Chen XA(陈希爱);  Tang YD(唐延东)
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Background Reconstruction via Low Rank Tensor Factorization 会议论文
2018 10th International Conference on Graphics and Image Processing (ICGIP 2018), Chengdu, China, December 12-14, 2018
Authors:  Shen GP(沈贵萍);  Han Z(韩志);  Chen XA(陈希爱);  Tang YD(唐延东);  Zhang Y(张杨)
View  |  Adobe PDF(741Kb)  |  Favorite  |  View/Download：75/18  |  Submit date：2018/12/27
background reconstruction  low rank  Tensor factorization  MoG  MRF  
Robust tensor factorization with MRF under complex noise 会议论文
2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017, Hawaii, USA, July 31 - August 4, 2017
Authors:  Chen XA(陈希爱);  Han Z(韩志);  Shen GP(沈贵萍);  Wang Y(王尧);  Tang YD(唐延东)
View  |  Adobe PDF(9887Kb)  |  Favorite  |  View/Download：133/21  |  Submit date：2017/12/21
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)
View  |  Adobe PDF(6522Kb)  |  Favorite  |  View/Download：179/14  |  Submit date：2017/11/15
Active Trace  Video Modeling  Sparse Representation  Tracking  Action Template  
Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian 会议论文
2014 International Conference on Robotics and Biomimetics (ROBIO 2014), Bali, Indonesia, December 5-10, 2014
Authors:  Shen GP(沈贵萍);  Han Z(韩志);  Tang YD(唐延东)
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基于机器视觉的红枣特征提取 期刊论文
控制工程, 2013, 卷号: 20, 期号: S1, 页码: 248-249,252
Authors:  沈贵萍;  马钺
View  |  Adobe PDF(376Kb)  |  Favorite  |  View/Download：245/56  |  Submit date：2013/10/05
机器视觉  红枣  特征提取  
基于机器视觉的红枣自动分级技术的研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2012
Authors:  沈贵萍
Adobe PDF(1597Kb)  |  Favorite  |  View/Download：535/15  |  Submit date：2012/07/27
机器视觉  红枣  图像处理  特征提取  分级