Improving small-scale dataset classification performance through weak-label samples generated by InfoGAN

Zhang, Meiyang, Miao, Qiguang, Ge, Daohui and Zhang, Zili 2021, Improving small-scale dataset classification performance through weak-label samples generated by InfoGAN, in CCF BIGDATA 2020 : Big data enabled digital economy : Proceedings of the 8th China Computer Federation International Conference on Big Data, Springer, Singapore, pp. 83-95, doi: 10.1007/978-981-16-0705-9_6.

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Title Improving small-scale dataset classification performance through weak-label samples generated by InfoGAN
Author(s) Zhang, Meiyang
Miao, Qiguang
Ge, Daohui
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Big Data. International Conference (8th : 2020 : Chongqing, China)
Conference location Chongqing, China
Conference dates 2020/10/22 - 2020/10/24
Title of proceedings CCF BIGDATA 2020 : Big data enabled digital economy : Proceedings of the 8th China Computer Federation International Conference on Big Data
Editor(s) Mei, H
Zhang, W
Fan, W
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Huang, Y
Bu, J
Gao, Y
Wang, L
Publication date 2021
Series Big Data International Conference
Start page 83
End page 95
Total pages 13
Publisher Springer
Place of publication Singapore
Keyword(s) Generated data
Deep forest
Small-scale data
InfoGAN
ISBN 9789811607042
ISSN 1865-0929
1865-0937
Language eng
DOI 10.1007/978-981-16-0705-9_6
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152897

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