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最小化 最大化

助理研究员——张恒  

性别:男  出生年月:1983.5  政治面貌:党员
 
教育经历:

2003.9-2007.7  中国科学技术大学 – 教改试点班      学士
2007.9-2013.7  中国科学院大学 – 模式识别与智能系统  硕博连读
 
发表论文:

H. Zhang, D.-H. Wang, and C.-L. Liu.
Keyword Spotting from Online Chinese Handwritten Documents Using One-Vs-All Character Classification Model.
International Journal of Pattern Recognition and Artificial Intelligence, 2013, 27(03).
 
H. Zhang, D.-H. Wang, and C.-L. Liu.
Character Confidence Based on N-Best List for Keyword Spotting in Online Chinese Handwritten Documents.
Pattern Recognition, 47 (5): 1880-1890, 2014.
 
H. Zhang, D.-H. Wang, and C.-L. Liu.
Keyword spotting from online Chinese handwritten documents using one-vs-all trained character classifier.
In Proc. ICFHR, pages 271–276, 2010.
 
Heng Zhang, Cheng-Lin Liu.
A Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting. In Proc. ICDAR, pages 1064-1068, 2011.
 
H. Zhang, D.-H. Wang, and C.-L. Liu.
A Confidence-Based Method for Keyword Spotting in Online Chinese Handwritten Documents.
In Proc. ICPR, pages 525-528, 2012.
 
Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu.
Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model.
In Proc. ICDAR, pages 567-571, 2013.
 
玛依热, 张恒, 刘成林. 联机手写维吾尔文字母识别方法. 《模式识别与人工智能》, 2012, 25(6): 979-986.
Ibrahim M, Zhang H, Liu C L, et al.

An Effective Character Separation Method for Online Cursive Uyghur Handwriting[M]//Pattern Recognition.
Springer Berlin Heidelberg, 2012: 530-538.