Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations-Reference-Cited by-同舟云学术

Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations

Published:2016 Issue: Volume: Page:835-851
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2016
language:
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Author:

Yang Hao,Zhou Joey Tianyi,Cai Jianfei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46448-0_50

Reference43 articles.

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3. Yu, H., Jain, P., Kar, P., Dhillon, I.S.: Large-scale multi-label learning with missing labels. In: ICML, pp. 593–601 (2014)

4. Kong, X., Ng, M.K., Zhou, Z.: Transductive multilabel learning via label set propagation. IEEE TKDE 25(3), 704–719 (2013)

5. Kong, X., Wu, Z., Li, L., Zhang, R., Yu, P.S., Wu, H., Fan, W.: Large-scale multi-label learning with incomplete label assignments. In: SDM, pp. 920–928 (2014)

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