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Recurrent Generative Adversarial Network for Face Completion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 429-442
Authors:  Wang Q(王强);  Fan HJ(范慧杰);  Sun G(孙干);  Ren WH(任卫红);  Tang YD(唐延东)
Adobe PDF(12315Kb)  |  Favorite  |  View/Download：47/2  |  Submit date：2021/01/17
Face  Feature extraction  Recurrent neural networks  Generative adversarial networks  Semantics  Image restoration  Gallium nitride  Recurrent neural network  generative adversarial network  face completion  short link  
iCmSC: Incomplete Cross-Modal Subspace Clustering 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 305-317
Authors:  Wang QQ(王倩倩);  Lian, Huanhuan;  Sun G(孙干);  Gao QX(高全学);  Jiao, Licheng
Adobe PDF(6218Kb)  |  Favorite  |  View/Download：45/2  |  Submit date：2020/12/31
Cross-modal subspace clustering  incomplete data  deep canonical correlation analysis  l(1,2)-norm  
Second-Order Sliding-Mode based Synchronization Control of Cable-Driven Parallel Robots 期刊论文
IEEE/ASME Transactions on Mechatronics, 2020, 卷号: 25, 期号: 1, 页码: 383-394
Authors:  Jia, Huaiyuan;  Shang, Weiwei;  Xie, Fei;  Zhang, Bin;  Cong, Shuang
Adobe PDF(7253Kb)  |  Favorite  |  View/Download：96/35  |  Submit date：2020/01/04
Cable-driven robot  parallel robot  sliding mode control  synchronization control  motion control  
Reliable Multi-Kernel Subtask Graph Correlation Tracker 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 8120-8133
Authors:  Fan BJ(范保杰);  Cong Y(丛杨);  Tian JD(田建东);  Tang YD(唐延东)
Adobe PDF(9487Kb)  |  Favorite  |  View/Download：78/11  |  Submit date：2020/08/28
Target tracking  Correlation  Kernel  Feature extraction  Robustness  Laplace equations  Layered multi-subtask learning  correction filter tracking  temporal-spatial consistency  object tracking  
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2020, 卷号: 17, 期号: 4, 页码: 1-18
Authors:  Chu YQ(褚亚奇);  Zhao XG(赵新刚);  Zou YJ(邹宜君);  Xu WL(徐卫良);  Song GL(宋国立);  Han JD(韩建达);  Zhao YW(赵忆文)
Adobe PDF(1662Kb)  |  Favorite  |  View/Download：127/15  |  Submit date：2020/09/12
motor imagery EEG  same upper limb  Riemannian geometry features  partial least squares regression  brain-machine interface  
Interconnection and Damping Assignment Passivity-Based Control Design Under Loss of Actuator Effectiveness 期刊论文
Journal of Intelligent and Robotic Systems: Theory and Applications, 2020, 卷号: 100, 期号: 1, 页码: 29-45
Authors:  Liu Z(刘重);  Theilliol, Didier;  Yang LY(杨丽英);  He YQ(何玉庆);  Han JD(韩建达)
Adobe PDF(1882Kb)  |  Favorite  |  View/Download：142/27  |  Submit date：2020/04/23
IDA-PBC  Loss of actuator effectiveness  Passive FTC  RUAV  
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  
Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 5009-5021
Authors:  Lyu, Zhiyu;  Han, Min;  Li DC(李德才);  Lyu, Zhiyu;  Han, Min;  Li DC(李德才)
Adobe PDF(9131Kb)  |  Favorite  |  View/Download：58/15  |  Submit date：2020/02/17
Uncertain type noise image  denoising  nonsubsampled shearlet transform (NSST)  spatial feature  justi able granularity  
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.
Adobe PDF(6634Kb)  |  Favorite  |  View/Download：102/11  |  Submit date：2020/04/11
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)
Adobe PDF(881Kb)  |  Favorite  |  View/Download：78/15  |  Submit date：2019/01/13
Bright parameters  hidden parameters  learning rate  neural networks  supervised learning