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ORCIDYan Chen 0035
Person information
- affiliation (PhD 2007): Nanyang Technological University, School of Computer Engineering, Singapore
Other persons with the same name
- Yan Chen — disambiguation page
- Yan Chen 0001 — Max Planck Institute for Software Systems, Saarbrüen, Germany
- Yan Chen 0002 — Science Systems and Applications, Inc.
- Yan Chen 0003 — University of Electronic Science and Technology of China, School of Automation, Chengdu, China
- Yan Chen 0004
![[0000-0003-4103-1498]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4103-1498")
— Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, IL, USA (and 2 more) - Yan Chen 0005 — Shanghai Jiaotong University, Department of Electronics Engineering, China
- Yan Chen 0006 — Logistical Engineering University, Department of Petroleum Supply Engineering, Chongqing, China
- Yan Chen 0007 — University of Science and Technology of China, School of Cyber Science and Technology, China (and 3 more)
- Yan Chen 0008 — Shanghai University of Finance and Economics, China (and 1 more)
- Yan Chen 0009 — Borough of Manhattan Community College, CUNY, NY, USA
- Yan Chen 0010 — Huawei Technologies, Ottawa, ON, Canada (and 3 more)
- Yan Chen 0011 — Soochow University, Suzhou, China
- Yan Chen 0012 — University of Nottingham, UK (and 1 more)
- Yan Chen 0013 — Arizona State University, Polytechnic School, Dynamic Systems and Control Laboratory, Mesa, AZ, USA (and 1 more)
- Yan Chen 0014 — University of Michigan, School of Information, Ann Arbor, MI, USA
- Yan Chen 0015 — Dalian Maritime University, Dalian, China
- Yan Chen 0016 — Florida International University, College of Business, Miami, FL, USA (and 2 more)
- Yan Chen 0017 — Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Yan Chen 0018 — Harbin Institute of Technology, Shenzhen, China
- Yan Chen 0019 — Beihang University, State Key Laboratory of Software Development Environment, Beijing, China
- Yan Chen 0020 — University of Technology, Sydney, Australia
- Yan Chen 0021 — York University, Department of Electrical Engineering and Computer Science, Toronto, ON, Canada
- Yan Chen 0022 — Duke University, Department of Computer Science, Durham, USA
- Yan Chen 0023 — Stevens Institute of Technology, School of Business, Hoboken, NJ, USA (and 2 more)
- Yan Chen 0024 — Kaiserslautern University of Technology, Germany
- Yan Chen 0025 — China University of Mining and Technology, School of Information and Control Engineering, China
- Yan Chen 0026 (aka: Wendy Yan Chen) — University of Hong Kong, Department of Geography, Hong Kong (and 1 more)
- Yan Chen 0027 — University of New Mexico, Albuquerque, NW, USA (and 1 more)
- Yan Chen 0028 — University of South Carolina, Department of Electrical Engineering, Columbia, SC, USA
- Yan Chen 0029 — Japan Advanced Institute of Science and Technology, Nomi, Japan (and 1 more)
- Yan Chen 0030 — Donghua University, College of Information Science and Technology, Shanghai, China
- Yan Chen 0031 — Xi'an Jiaotong University, Department of Computer Science and Technology, MOEKLINNS Laboratory, China
- Yan Chen 0032 — Chongqing University of Technology, School of Electrical and Electronic Engineering, China
- Yan Chen 0033 — Virginia Tech, VA, USA (and 2 more)
- Yan Chen 0034 — South China University of Technology, Guangzhou, China
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Books and Theses
- 2007
[b1]Yan Chen:
Algorithms for extracting text from degraded document images. Nanyang Technological University, Singapore, 2007
Conference and Workshop Papers
- 2005
- [c4]Yan Chen, Graham Leedham:
Independent Component Analysis Segmentation Algorithm. ICDAR 2005: 680-684 - 2004
- [c3]Yan Chen, Graham Leedham:
Decompose-threshold approach to handwriting extraction in degraded historical document images. IWFHR 2004: 239-244 - [c2]Yan Chen, Graham Leedham:
The Multistage Approach to Information Extraction in Degraded Document Images. ICPR (1) 2004: 445-448 - 2003
- [c1]Graham Leedham, Yan Chen, Kalyan Takru, Joie Hadi Nata Tan, Li Mian:
Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images. ICDAR 2003: 859-
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last updated on 2024-06-25 23:35 CEST by the dblp team
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