University of Macau, Macau
Department of Electrical Engineering, Huazhong University of Science and Technology, China
Pattern recognition has become one of the fastest growing research areas in recent years. This is in part attributed to the pioneering work by the researchers in academe as well as the practitioners in industry. Making computers see and recognize objects like humans has captured the attention of many scientists in different disciplines. Indeed, machine recognition of different patterns such as human faces, irises, fingerprinting, printed and handwritten characters, biomedical images, etc. has been intensively and extensively researched by scientists in different countries around the world. The area of pattern recognition, after over five decades of continued development, is now definitely playing a very major role in advanced automation in the 21st century.
We establish the core ideas of pattern recognition from the viewpoints of systems, man, and cybernetics by focusing on both the theoretical achievements and practical applications of pattern recognition. The goal of this technical committee is to provide a forum for exchanging ideas among researchers in pattern recognition, such as to organize the SMC co-sponsored conferences, workshops and publications. It also establishes a bridge to connect the new theoretical results of research of pattern recognition and real applications.
- M. Cheriet, Centre for Pattern Recognition and Machine Intelligence, Canada
- Bin Fang, College of Computer Science, Chongqing University, China
- Stan Klasa, Department of Computer Science and Soft Engineering, Concordia University, Canada
- Adam Krzyzak, Department of Computer Science and Soft Engineering, Concordia University, Canada
- Seong-Whan Lee, Korea University, Korea
- Xuelong Li, University of London, UK
- Zhaowei Shang, College of Computer Science, Chongqing University, China
- Roberto Tronci, Department of Electrical and Electronic Engineering, University of Cagliari, Italy
- Pong Chi Yuen, Department of Computer Science, Hong Kong Baptist University, Hong Kong