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CASIA OpenIR
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Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：329/4  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks 会议论文
, 澳大利亚,悉尼, 2019-9
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(353Kb)  |  收藏  |  浏览/下载：231/72  |  提交时间：2021/03/30
Drawing and Recognizing Chinese Characters with Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 849-862
作者:  Zhang, Xu-Yao;  Yin, Fei;  Zhang, Yan-Ming;  Liu, Cheng-Lin;  Bengio, Yoshua
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：671/294  |  提交时间：2017/09/16
Recurrent Neural Network  Lstm  Gru  Discriminative Model  Generative Model  Handwriting  
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3026Kb)  |  收藏  |  浏览/下载：328/54  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：315/84  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition