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基于表面肌电的意图识别方法在非理想条件下的研究进展 期刊论文
自动化学报, 2021, 页码: 1-19
Authors:  李自由;  赵新刚;  张弼;  丁其川;  张道辉;  韩建达
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肌电信号  研究进展  非理想条件  模式识别  
基于张量非负稀疏分解的偏振图像插值算法 期刊论文
光学学报, 2021, 页码: 1-15
Authors:  张俊超;  陈溅来;  罗海波;  杨德贵;  梁步阁
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偏振成像  分焦平面  稀疏表示  张量非负分解  图像插值  
基于在线低秩表达的视频恢复算法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  高振远
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在线鲁棒主成分分析  低秩稀疏分解  视频恢复  非局部先验  稀疏噪声  
Low-rank decomposition on transformed feature maps domain for image denoising 期刊论文
Visual Computer, 2020, 页码: 1-17
Authors:  Luo Q(罗琼);  Liu BC(刘柏辰);  Zhang Y(张杨);  Han Z(韩志);  Tang YD(唐延东)
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Low-rank  Domain transformation  Autoencoder  Denoising  
Deep plug-and-play prior for low-rank tensor completion 期刊论文
Neurocomputing, 2020, 卷号: 400, 页码: 137-149
Authors:  Zhao XL(赵熙乐);  Xu, Wen-Hao;  Jiang TX(蒋太翔);  Wang Y(王尧);  Ng, Michael K.
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Tensor completion  Tensor nuclear norm  Denoising neural network  Alternating direction method of multipliers  Plug-and-play framework  
Learning Through Deterministic Assignment of Hidden Parameters 期刊论文
IEEE Transactions on Cybernetics, 2020, 卷号: 50, 期号: 5, 页码: 2321-2334
Authors:  Fang, Jian;  Lin SB(林绍波);  Xu ZB(徐宗本)
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Bright parameters  hidden parameters  learning rate  neural networks  supervised learning  
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 11, 页码: 7654-7671
Authors:  Wang, Kaidong;  Wang Y(王尧);  Zhao XL(赵熙乐);  Chan, Jonathan Cheung-Wai;  Xu ZB(徐宗本);  Meng DY(孟德宇)
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Hyperspectral (HS) image  image fusion  nonlocal tensor decomposition  spatial enhancement  spectral unmixing  
Double robust principal component analysis 期刊论文
Neurocomputing, 2020, 卷号: 391, 页码: 119-128
Authors:  Wang QQ(王倩倩);  Gao QX(高全学);  Sun G(孙干);  Ding, Chris
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Robust principal component analysis  Double  Low-rank representation  
Multilinear Multitask Learning by Rank-Product Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 4, 页码: 1336-1350
Authors:  Zhao Q(赵谦);  Rui, Xiangyu;  Han Z(韩志);  Meng DY(孟德宇)
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Multilinear  multitask learning (MTL)  rank product  tensor sparsity  
Relaxed Low Tensor Train Rank Representation with Structural Smoothness for Hyperspectral Image Super-resolution 会议论文
Proceedings of 10th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2020, Xi'an, China, October 10-13, 2020
Authors:  Li, Shengchuan;  Jia HD(贾慧迪);  Chen XA(陈希爱);  Li, Sun;  Han Z(韩志);  Tang YD(唐延东);  Liu, Jiaxin
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low tensor train rank  log-sum norm  nonlocal similarity  structural smoothness  super-resolution