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Get a Head Start: Targeted Labeling at Source with Limited ..:
, In:
2023 IEEE International Conference on Multimedia and Expo (ICME)
,
Zhu, Hui
;
Lu, Yongchun
;
Ma, Qin
... - p. 1805-1810 , 2023
Link:
https://doi.org/10.1109/ICME55011.2023.00310
RT T1 <cTitle>2023 IEEE International Conference on Multimedia and Expo (ICME)</cTitle>: T1 <Title>Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10220053&Exemplar=1&LAN=DE A1 Zhu, Hui A1 Lu, Yongchun A1 Ma, Qin A1 Zhou, Xunyi A1 Xia, Fen A1 Zhao, Guoqing A1 Jiang, Ning A1 Zhao, Xiaofang YR 2023 SN 1945-788X K1 Training K1 Bridges K1 Annotations K1 Semisupervised learning K1 Boosting K1 Data models K1 Labeling K1 Semi-supervised learning K1 Targeted labeling K1 Feature K1 Distribution K1 Annotation overhead SP 1805 OP 1810 LK http://dx.doi.org/https://doi.org/10.1109/ICME55011.2023.00310 DO https://doi.org/10.1109/ICME55011.2023.00310 SF ELIB - SuUB Bremen
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