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Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
Adobe PDF(2080Kb)  |  收藏  |  浏览/下载：160/19  |  提交时间：2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
Motor-Cortex-Like Recurrent Neural Network and Multi-Tasks Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Jiahao Chen;  Hong Qiao
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：204/56  |  提交时间：2021/06/01
Biologically inspired  Musculoskeletal system  Neuromuscular control,  Motor cortex  Muscle synergy  Recurrent neural network  
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 期号: 27(6), 页码: 2966-2979
作者:  Huang, Xiayuan;  Qiao, Hong;  Bo, Zhang;  Nie, Xiangli
Adobe PDF(6084Kb)  |  收藏  |  浏览/下载：176/69  |  提交时间：2020/10/13
land cover classification  dimensionality reduction  tensor local discriminant analysis  PolSAR image  
Lightweight Two-Stream Convolutional Neural Network for SAR Target Recognition 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 18, 期号: 0, 页码: 1-5
作者:  Huang, Xiayuan;  Yang, Qiao;  Qiao, Hong
浏览  |  Adobe PDF(736Kb)  |  收藏  |  浏览/下载：197/75  |  提交时间：2020/10/13
Lightweight  synthetic aperture radar (SAR) target recognition  two-stream convolutional neural network (CNN)  
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong;  Amir Hussain
Adobe PDF(646Kb)  |  收藏  |  浏览/下载：359/14  |  提交时间：2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics  
Multi-view laplacian least squares for human emotion recognition 期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 页码: 78-87
作者:  Guo, Shuai;  Feng, Lin;  Feng, Zhan-Bo;  Li, Yi-Hao;  Wang, Yang;  Liu, Sheng-Lan;  Qiao, Hong
收藏  |  浏览/下载：300/0  |  提交时间：2020/03/30
Multi-view learning  Laplacian least squares  Subspace learning  Human emotion recognition  
An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 1, 页码: 302-320
作者:  Nie, Xiangli;  Ding, Shuguang;  Huang, Xiayuan;  Qiao, Hong;  Zhang, Bo;  Jiang, Zhong-Ping
Adobe PDF(16269Kb)  |  收藏  |  浏览/下载：423/79  |  提交时间：2019/07/12
Multiview learning  online classification  passive-aggressive (PA) algorithm  polarimetric synthetic aperture radar (PolSAR)  
Study on dual peg-in-hole insertion using of constraints formed in the environment 期刊论文
INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, 2017, 卷号: 44, 期号: 6, 页码: 730-740
作者:  Su, Jianhua;  Li, Rui;  Qiao, Hong;  Xu, Jing;  Ai, Qinglin;  Zhu, Jiankang
Adobe PDF(595Kb)  |  收藏  |  浏览/下载：350/147  |  提交时间：2018/03/03
Attractive Region  Peg-in-hole  Sensor-less  
Manifold Warp Segmentation of Human Action 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1414-1426
作者:  Liu, Shenglan;  Feng, Lin;  Liu, Yang;  Qiao, Hong;  Wu, Jun;  Wang, Wei
Adobe PDF(3667Kb)  |  收藏  |  浏览/下载：425/141  |  提交时间：2018/01/06
Curvature  Dimensionality Reduction  Human Action Segmentation  Space Alignment  
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
作者:  Ding, Shuguang;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
Adobe PDF(3029Kb)  |  收藏  |  浏览/下载：407/133  |  提交时间：2017/12/30
Convex Hull Decomposition  Kernel  Online Classification  Projection