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学术报告:Few-Shot Image Classification Based on Class Distribution Estimation Using Maximum A Posteriori
2022年06月22日16时 人评论

学术报告: Few-Shot Image Classification Based on Class Distribution Estimation Using Maximum A Posteriori

报告人:日本早稻田大学Prof. Jinglu HU教授


Abstract:

In this speech, we first give a brief introduction of deep learning, then give a detail talk on few-shotimage classification based on class distribution estimation using maximum a posteriori (MAP).


Biolography:

Dr Hu received a M.Sci degree from Sun Yat-Sen University, in 1986, and a Ph.D degree from Kyushu Institute of Technology, Japan in 1997.Since 2008, he has been a Professor at Graduate School of Information, Production and Systems, Waseda University. His research interests include computational intelligence and its applications.


Date:June 23( Thurday), 2022, 15:00 - 17:00 Beijing time


Join Zoom Meeting

https://zoom.us/j/91623659923?pwd=WmxxY3grYzhydEV3a21zaDNHV1F0QT09


Meeting ID: 916 2365 9923

Passcode: 855006


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