Learning Multi Labels from Single Label —— An Extreme Weak Label Learning Algorithm-Reference-Cited by-同舟云学术

Learning Multi Labels from Single Label —— An Extreme Weak Label Learning Algorithm

Published:2019-03-20 Issue:2 Volume:24 Page:161-168
ISSN:1007-1202
Container-title:Wuhan University Journal of Natural Sciences
language:en
Short-container-title:Wuhan Univ. J. Nat. Sci.

Author:

Duan Junhong,Li Xiaoyu,Mu Dejun

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s11859-019-1381-y.pdf

Reference12 articles.

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3. Kong X, Wu Z, Li L J, et al. Large–scale multi–label learning with incomplete label assignments [C]// SIAM International Conference on Data Mining. Philadelphia: Society for Industrial and Applied Mathematics, 2014: 920–928.

4. Yang S J, Jiang Y, Zhou Z H. Multi–instance multi–label learning with weak label [C]// IJCAI. San Francisco: Morgan Kaufmann, 2013: 593–598.

5. Wu B, Liu Z, Wang S, et al. Multi–label learning with missing labels [C]// IEEE 22nd International Conference on Pattern Recognition. Washington D C: IEEE, 2014: 1964–1968.

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