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基于Tensor Train低秩张量分解的理论算法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  张杨
Adobe PDF(4660Kb)  |  Favorite  |  View/Download:2/0  |  Submit date:2019/07/14
TT分解  图像去噪  张量补全  逐点加权  张量鲁棒主成分分析  
图像视频低秩张量表达及恢复算法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  陈希爱
Adobe PDF(33552Kb)  |  Favorite  |  View/Download:120/24  |  Submit date:2018/12/16
低秩稀疏分解  低秩张量分解  三维全变分  多高斯拟合  马尔科夫随机场  
Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 8, 页码: 1-13
Authors:  Jia T(贾同);  Chen, Dongyue;  Wang J(王骥);  Xu, Dong
View  |  Adobe PDF(1839Kb)  |  Favorite  |  View/Download:34/4  |  Submit date:2018/09/30
single imaging system  compressive sensing  measurement matrix  
Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization 期刊论文
Remote Sensing, 2017, 卷号: 9, 期号: 12, 页码: 1-16
Authors:  Wang Y(王尧);  Chen XA(陈希爱);  Han Z(韩志);  He, Shiying
View  |  Adobe PDF(2475Kb)  |  Favorite  |  View/Download:221/16  |  Submit date:2018/01/06
Hyperspectral Image Super-resolution  Low-rank Tensor Approximation  Nonlocal Self-similarity  Folded-concave Regularization  Total Variation  Admm  
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization 会议论文
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016
Authors:  He, Shiying;  Zhou, Haiwei;  Wang Y(王尧);  Cao, Wenfei;  Han Z(韩志)
View  |  Adobe PDF(1118Kb)  |  Favorite  |  View/Download:115/16  |  Submit date:2017/01/14
Hyperspectral Images  Super-resolution Reconstruction  Nuclear Norm  Folded-concave Penalty  3d Totalvariation  
Computer-Aided Endoscopic Diagnosis Without Human-Specific Labeling 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 卷号: 63, 期号: 11, 页码: 2347-2358
Authors:  Wang S(王帅);  Cong Y(丛杨);  Fan HJ(范慧杰);  Liu LQ(刘连庆);  Li, Xiaoqiu;  Yang YS(杨云生);  Tang YD(唐延东);  Zhao HC(赵怀慈);  Yu HB(于海斌)
View  |  Adobe PDF(989Kb)  |  Favorite  |  View/Download:294/40  |  Submit date:2016/11/17
Computer-aided Endoscopic Diagnosis  Multiple Instance Learning (Mil)  Online Metric Learning  Weakly Labeled Data