Label noise correction and application in crowdsourcing
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- 作者：Bryce Nicholson ; a ; bnicholson1@uca.edu" class="auth_mail" title="E-mail the corresponding author ; bnicholson1210@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Victor S. Shenga ; ssheng@uca.edu" class="auth_mail" title="E-mail the corresponding author ; Jing Zhangb ; jzhang@njust.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Noise correction ; Crowdsourcing ; Image processing ; Classification
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：30 December 2016
- 年：2016
- 卷：66
- 期：Complete
- 页码：149-162
- 全文大小：4689 K
文摘
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ra0001">This paper focuses on label noise correction, which keeps silence in literature.
- el">•
ra0002">A self-training based noise correction method is proposed.
- el">•
ra0003">A clustering-based correction method is proposed.
- el">•
ra0004">A previous method is adapted for label noise correction only.
- el">•
ra0005">Investigate the performance of noise correction algorithms in crowdsourced image labeling.