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Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Dai, Shijie;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4440Kb)  |  收藏  |  浏览/下载：361/45  |  提交时间：2022/06/10
Robots  Robot kinematics  Adaptive systems  Navigation  Solid modeling  Force  Complex systems  3-D path-following  adaptive line-of-sight (LOS)  guidance and control  robotic fish  time-varying sideslip angle  
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1292-1305
作者:  Lin, Xuxin;  Wan, Jun;  Xie, Yiliang;  Zhang, Shifeng;  Lin, Chi;  Liang, Yanyan;  Guo, Guodong;  Li, Stan Z.
浏览  |  Adobe PDF(3737Kb)  |  收藏  |  浏览/下载：368/82  |  提交时间：2020/03/30
Face  Task analysis  Training  Face recognition  Facial features  Pipelines  Attribute analysis  face analysis  face detection  landmark localization  multitask learning  
Neural-Learning-Based Telerobot Control With Guaranteed Performance 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3148-3159
作者:  Yang, Chenguang;  Wang, Xinyu;  Cheng, Long;  Ma, Hongbin
Adobe PDF(3035Kb)  |  收藏  |  浏览/下载：310/93  |  提交时间：2018/01/05
Collision Avoidance  Guaranteed Performance  Neural Networks (Nns)  Telerobot Control  
Learning A Superpixel-Driven Speed Function for Level Set Tracking 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 7, 页码: 1498-1510
作者:  Zhou, Xue;  Li, Xi;  Hu, Weiming
浏览  |  Adobe PDF(2788Kb)  |  收藏  |  浏览/下载：383/124  |  提交时间：2016/10/20
Level Set Tracking  Metric Learning  Non-negative Matrix Factorization (Nf)  Speed Function  Superpixel (Sp)-driven  
Robust Visual Tracking via Exclusive Context Modeling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 1, 页码: 51-63
作者:  Zhang, Tianzhu;  Ghanem, Bernard;  Liu, Si;  Xu, Changsheng;  Ahuja, Narendra
浏览  |  Adobe PDF(1451Kb)  |  收藏  |  浏览/下载：285/49  |  提交时间：2016/03/19
Contextual Information  Exclusive Sparse Learning  Particle Filter  Tracking