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An Effective On-line Surface Particles Inspection Instrument for Large Aperture Optical Element 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 4, 页码: 420-431
Authors:  Wen-Dong Ding;  Zheng-Tao Zhang;  Da-Peng Zhang;  De Xu;  Hai-Bing Lv;  Xin-Xiang Miao;  Guo-Rui Zhou;  Hao Liu
View  |  Adobe PDF(5041Kb)  |  Favorite  |  View/Download:92/15  |  Submit date:2017/09/20
Dark-field Imaging  Image Rectification  Adaptive Binarization  Particle Inspection  Large Aperture Optical Elements (Laoe)  
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 卷号: 58, 页码: 49-61
Authors:  Zhang, Heng;  Zhou, Xiang-Dong;  Liu, Cheng-Lin
Favorite  |  View/Download:69/0  |  Submit date:2017/05/05
Online Handwritten Chinese Documents  Semi-markov Conditional Random Fields  Keyword Spotting  Proxy-character Driven Search  
Handwritten Chinese character recognition by joint classification and similarity ranking 会议论文
International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, China, October 23-26
Authors:  Cheng Cheng;  Xu-Yao Zhang;  Xiao-Hu Shao;  Xiang-Dong Zhou
Favorite  |  View/Download:73/0  |  Submit date:2016/10/27
Hccr  
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
Authors:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
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Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2013, 卷号: 35, 期号: 10, 页码: 2413-2426
Authors:  Zhou, Xiang-Dong;  Wang, Da-Han;  Tian, Feng;  Liu, Cheng-Lin;  Nakagawa, Masaki
Favorite  |  View/Download:47/0  |  Submit date:2015/08/12
Character String Recognition  Semi-markov Conditional Random Field  Lattice Pruning  Beam Search  
Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 2013
Authors:  Xiang-Dong Zhou;  Feng Tian;  Cheng-Lin Liu;  Hong-An Wang
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Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 美国, 2013
Authors:  Zhang, Heng;  Zhou, Xiang-Dong;  Liu, Cheng-Lin
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An approach for real-time recognition of online Chinese handwritten sentences 期刊论文
PATTERN RECOGNITION, 2012, 卷号: 45, 期号: 10, 页码: 3661-3675
Authors:  Wang, Da-Han;  Liu, Cheng-Lin;  Zhou, Xiang-Dong
Favorite  |  View/Download:42/0  |  Submit date:2015/08/12
Online Chinese Handwritten Sentence Recognition  Real-time Recognition  Dynamic Text Line Segmentation  Dynamic Over-segmentation  Dynamic Candidate Lattice  Path Search  
Transcript mapping for handwritten text lines using conditional random fields 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 2011
Authors:  Zhou, Xiang-Dong;  Yin, Fei;  Wang, Da-Han;  Wang, Qiu-Feng;  Nakagawa, Masaki;  Liu, Cheng-Lin
Favorite  |  View/Download:42/0  |  Submit date:2015/08/19
A robust model for on-line handwritten japanese text recognition 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2010, 卷号: 13, 期号: 2, 页码: 121-131
Authors:  Zhu, Bilan;  Zhou, Xiang-Dong;  Liu, Cheng-Lin;  Nakagawa, Masaki
Favorite  |  View/Download:38/0  |  Submit date:2015/08/12
On-line Japanese Text Recognition  String Recognition  Integrated Segmentation And Recognition  Path Evaluation