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Analytical inverse kinematic computation for 7-DOF redundant sliding manipulators 期刊论文
Mechanism and Machine Theory, 2021, 卷号: 155, 页码: 1-23
Authors:  Tong YC(佟玉闯);  Liu JG(刘金国);  Liu YW(刘玉旺);  Yuan Y(袁源)
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Redundant manipulator  Sliding manipulator  Inverse kinematics  Analytical solution  Parameterization  
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:31/1  |  Submit date:2020/12/31
Cross-modal subspace clustering  incomplete data  deep canonical correlation analysis  l(1,2)-norm  
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 1, 页码: 281-292
Authors:  Tang FZ(唐凤珍);  Fan ML(范孟灵);  Tino, Peter
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Generalized learning vector quantization (GLVQ)  learning vector quantization (LVQ)  Riemannian geodesic distances  Riemannian manifold  
基于自主学习的水空跨域海洋机器人运动控制方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  霍雨佳
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水下机器人  倾转旋翼机器人  自主学习  高斯过程回归  
面向复杂点云数据的3D目标识别技术研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  刘洪森
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3D目标识别技术  复杂点云场景  6-DOF位姿估计  
工控系统态势理解算法研究 学位论文
专业学位硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  敖建松
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工业控制系统  态势感知  去噪自编码器  MSET  聚类算法  
无权访问的条目 期刊论文
Authors:  Peng HJ(彭海军);  Li F(李飞);  Liu JG(刘金国)
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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)
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motor imagery EEG  same upper limb  Riemannian geometry features  partial least squares regression  brain-machine interface  
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  
MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 24, 期号: 6, 页码: 1652-1663
Authors:  Zhu, Hongbo;  Zhao, Hai;  Song CH(宋纯贺);  Bian, Zijian;  Bi, Yuanguo;  Liu, Tong;  He, Xuan;  Yang, Dongxiang;  Cai, Wei
Adobe PDF(6015Kb)  |  Favorite  |  View/Download:129/32  |  Submit date:2019/11/14
False positive reduction  Spherical surface feature  Deep decision  ORFs  Computer tomography