报告题目: Pattern Recognition I’ve Studied
报告时间: 2019年11月15日，星期五，14:00-16:00
报告地点: 北五楼319会议室
报告人: Sang-Woon Kim, Myongji University, South Korea
报告摘要：
In this talk, he will review what he had done until his retirement. In particular, the lecture will focus on the motivation of his research on the papers published so far for beginners who want to start new research on pattern recognition. At first, some basic methods for pattern recognition will be reviewed. Then, the following three methods will be presented, i.e., improving DBC using OSS measures, semi-supervised learning strategies, and subspace-based pattern recognition methods. Finally, he will share with us one story he observed in Xi’an.
报告人简介：
Sang-Woon Kim is currently a Professor (emeritus) of Computer Engineering, Myongji University, South Korea. He first began his pattern recognition research as a full-time researcher in April 1984 and continued to do the research until February 2019. He received the BE degree from Hankook Aviation University, South Korea in 1978, and the ME and the PhD degrees from Yonsei University, Seoul, South Korea in 1980 and 1988, respectively, both in Electronic Engineering. In 1989, he joined the Department of Computer Engineering, Myongji University, South Korea and is currently a Full Professor there. His research interests include Statistical Pattern Recognition, Machine Learning, and Avatar Communications in Virtual Worlds. He is the author or coauthor of 49 regular papers and 13 books. He is a Senior Member of the IEEE and a Member of the IEIE. He has acted as a program committee of many conference on pattern recognition.
