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

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