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Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Shuo;  Wang, Yu;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：315/75  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 30, 期号: Early Access, 页码: 1 - 1
作者:  Li, Qiaozhe;  Zhao, Xin;  He, Ran;  Huang, Kaiqi
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载：419/107  |  提交时间：2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification  
A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 2, 页码: 17
作者:  Hu, Jun;  Qian, Shengsheng;  Fang, Quan;  Liu, Xueliang;  Xu, Changsheng
收藏  |  浏览/下载：262/0  |  提交时间：2019/12/16
Network embedding  multimodal  heterogeneous network  
Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: Sep. 2019, 页码: 136951- 136961
作者:  Shuai Wang;  Chenchen Huang;  Juanjuan Li;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：393/115  |  提交时间：2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：374/162  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network