人才
李志明
基本信息:
李志明,男,出生于1979年12月,副教授,博士,毕业于天津大学,数学专业,研究方向是最优化理论和算法、模式识别,主要讲授数学分析、高等数学等课程。
主要科研成果:
论文
1、Zhi-Ming Li, Zheng-Hai, Huang, Kun Shang, A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition, IEEE Transactions on Information Forensics and Security , 11(10), 2016, 2203-2214.
2、Zhi-Ming Li, Zheng-Hai, Huang, Ting Zhang, Gabor-scale binary pattern for face recognition, International Journal of Wavelets Multiresolution and Information Processing, 14(5), 2016, 1650035(22 pages).
3、Zhi-MingLi,Zheng-Hai Huang, Wen-Juan Li, Recognition of Colored Face, Based on an Improved Color Local Binary Pattern, International Journal of Pattern Recognition and Artificial Intelligence, 33(4), 2019, 1956004(23 pages).
4、Zhi-Ming Li, Songnian He, Jing Zhao, Convergence theorems on an implicit iterative process for approximating common ?xed points of ?nite strictly pseudocontractive mappings, Journal of Applied Mathematics and Computing, 29(1-2), 2009, 491-499.
5、Ru-Xi Ding, Daniel K. Du, Zheng-Hai Huang, Zhi-Ming Li(通讯), Kun Shang,Variational Feature Representation-based Classification for face recognition with single sample per person, Journal of Visual Communication and Image Representation, 30, 2015, 35-45.
6、Kun Shang, Zheng-Hai Huang, Wanquan Liu, Zhi-Ming Li(通讯), A single gallery-based face recognition using extended joint sparse representation, Applied Mathematics and Computation, 320, 2018, 99-115.
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