Improving the Quality of Crowdsourced Image Labeling via Label Similarity-Reference-Cited by-同舟云学术

Improving the Quality of Crowdsourced Image Labeling via Label Similarity

Published:2017-09 Issue:5 Volume:32 Page:877-889
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Fang Yi-Li,Sun Hai-Long,Chen Peng-Peng,Deng Ting

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-017-1770-7.pdf

Reference30 articles.

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4. von Ahn L, Dabbish L. Labeling images with a computer game. In Proc. the 2004 Conference on Human Factors in Computing Systems (CHI), April 2004, pp.319-326.

5. Han T, Sun H, Song Y, Fang Y, Liu X. Incorporating external knowledge into crowd intelligence for more specific knowledge acquisition. In Proc. the 25th International Joint Conference on Artificial Intelligence (IJCAI), July 2016, pp.1541-1547.

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