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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
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TT分解  图像去噪  张量补全  逐点加权  张量鲁棒主成分分析  
High-dimensional grouped folded concave penalized estimation via the LLA algorithm 期刊论文
Journal of the Korean Statistical Society, 2019, 卷号: 48, 期号: 1, 页码: 84-96
Authors:  Guo X(郭骁);  Wang Y(王尧);  Zhang H(张海)
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Grouped variable selection  High-dimensional linear models  Folded concave penalty  Local linear approximation  Oracle estimator  
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 期号: 2, 页码: 474-485
Authors:  Chang, Xiangyu;  Zhong, Yan;  Wang Y(王尧);  Lin SB(林绍波)
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Degrees of freedom  low-rank matrix estimate  multivariate linear regression  multivariate quantile regression (QR)  
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
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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  
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
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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)
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Hyperspectral Images  Super-resolution Reconstruction  Nuclear Norm  Folded-concave Penalty  3d Totalvariation  
Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment 期刊论文
Science China Information Sciences, 2016, 卷号: 59, 期号: 5, 页码: 1-13
Authors:  Chen XA(陈希爱);  Han Z(韩志);  Wang Y(王尧);  Tang YD(唐延东);  Yu HB(于海斌)
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Low-rank Decomposition  Nonconvex Relaxation  Quadratic Penalized  Batch Image Alignment  Sparse Or nonSparse Noise  
Folded-concave penalization approaches to tensor completion 期刊论文
Neurocomputing, 2015, 卷号: 152, 页码: 261-273
Authors:  Cao WF(曹文飞);  Wang Y(王尧);  Yang, Can;  Chang, Xiangyu;  Han Z(韩志);  Xu ZB(徐宗本)
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Tensor Completion  Nuclear Norm  Folded-concave Penalization  Local Linear Approximation  Sparse Learning