报告内容：Domain adaptation
报告人：Prof. CHANGICK KIM
报告时间：12月30日 15:00
报告地点：现代交通工程中心7850会议室
CHANGICK KIM received the B.S. degree in electrical engineering from Yonsei University, Seoul, South Korea, in 1989, the M.S. degree in electronics and electrical engineering from the Pohang University of Science and Technology, Pohang, South Korea, in 1991, and the Ph.D. degree in electrical engineering from the University of Washington, Seattle, WA, USA, in 2000. From 2000 to 2005, he was a Senior Member of Technical Staff with Epson Research and Development, Inc., Palo Alto, CA, USA. From 2005 to 2009, he was an Associate Professor with the School of Engineering, Information and Communications University, Daejeon, South Korea. Since 2009, he has been with the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, where he is currently a Professor. His research interests include multimedia signal processing and computer vision.
报告内容简介:
Domain adaptation is a field associated with machine learning and transfer learning. This scenario arises when we aim at learning from a source data distribution a well performing model on a different (but related) target data distribution. In this lecture, we will study the concept of transfer learning and domain adaptation and see how they are currently used in various computer vision applications.
