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Synthesizing cloth wrinkles by CNN-based geometry image superresolution 期刊论文
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2018, 卷号: 29, 期号: 3-4
作者:  Chen, Lan;  Ye, Juntao;  Jiang, Liguo;  Ma, Chengcheng;  Cheng, Zhanglin;  Zhang, Xiaopeng
Adobe PDF(850Kb)  |  收藏  |  浏览/下载：516/133  |  提交时间：2018/10/10
Cloth Animation  Data-driven  Deep Learning  Geometry Image  Wrinkle Synthesis  
Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 9, 页码: 361-369
作者:  Ma, Hongwen;  Wang, Ding;  Ding Wang
浏览  |  Adobe PDF(1038Kb)  |  收藏  |  浏览/下载：422/114  |  提交时间：2017/05/03
Connectivity Preservation  Event-based Control  Multiagent Systems  Neural Networks  
Probabilistic hypergraph matching based on affinity tensor updating 期刊论文
NEUROCOMPUTING, 2017, 卷号: 269, 期号: 0, 页码: 142-147
作者:  Yang, Xu;  Liu, Zhi-Yong;  Qiao, Hong;  Su, Jian-Hua
浏览  |  Adobe PDF(2483Kb)  |  收藏  |  浏览/下载：582/161  |  提交时间：2017/03/09
Hypergraph Matching  Probabilistic Graph Matching  Tensor Decomposition  Structural Pattern Recognition  
Geometric interpretation of nonlinear approximation capability for feedforward neural networks 期刊论文
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 卷号: 3173, 期号: 1, 页码: 7-13
作者:  Hu, BG;  Xing, HJ;  Yang, YJ;  Yin, FL;  Wang, J;  Guo, CG
浏览  |  Adobe PDF(116Kb)  |  收藏  |  浏览/下载：235/60  |  提交时间：2015/09/18
Neural Networks  
Neural-Network-Based Optimal Control for a Class of Nonlinear Discrete-Time Systems With Control Constraints Using the Iterative GDHP Algorithm 会议论文
International Joint Conference on Neural Networks (IJCNN), 2011
作者:  Liu, DR;  Wang, D;  Zhao, DB
Adobe PDF(434Kb)  |  收藏  |  浏览/下载：299/72  |  提交时间：2015/08/19
Robust Face-Name Graph Matching for Movie Character Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2012, 卷号: 14, 期号: 3, 页码: 586-596
作者:  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1938Kb)  |  收藏  |  浏览/下载：341/93  |  提交时间：2015/08/12
Character Identification  Graph Edit  Graph Matching  Graph Partition  Sensitivity Analysis