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CASIA OpenIR
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Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：287/77  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks 期刊论文
Pattern Recognition, 2021, 卷号: 114, 期号: 114, 页码: 107859
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(1780Kb)  |  收藏  |  浏览/下载：327/89  |  提交时间：2021/03/30
Online handwritten documents  Stroke classification  Text line grouping  Graph neural networks  Edge pooling attention networks  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
收藏  |  浏览/下载：218/0  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction 会议论文
Procceding of IJCNN 2014, 北京, 2014
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Zhang, Yan-Ming;  Liu, Cheng-Lin
浏览  |  Adobe PDF(494Kb)  |  收藏  |  浏览/下载：261/94  |  提交时间：2016/07/14
Rbm  
Fast kNN graph construction with locality sensitive hashing 会议论文
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 捷克布拉格, 23-27 September, 2013
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guanggang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(422Kb)  |  收藏  |  浏览/下载：342/100  |  提交时间：2016/04/06
Adaptive spatial pooling for image classification 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 55, 页码: 58-67
作者:  Liu, Yinglu;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1748Kb)  |  收藏  |  浏览/下载：614/226  |  提交时间：2016/04/06
Weighted Pooling  Spatial Layout  Distribution Matrix  Image Classification  
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：310/51  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Subspace Regularization: A New Semi-supervised Learning Method 会议论文
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PT II, 斯洛文尼亚, 7-11 September, 2009
作者:  Zhang, Yan-Ming;  Hou, Xinwen;  Xiang, Shi-Ming;  Liu, Cheng-Lin
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：211/48  |  提交时间：2015/08/19
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
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：287/78  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition