Detecting the Fake Candidate Instances-Reference-Cited by-同舟云学术

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Detecting the Fake Candidate Instances

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Li Changchun¹,Li Ximing¹,Ouyang Jihong¹,Wang Yiming¹

Affiliation:

1. Jilin University, Changchun, China

Funder

National Natural Science Foundation of China (NSFC)

Key R&D Projects of Science and Technology Department of Jilin Province of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482251

Reference61 articles.

1. Learning from positive and unlabeled data: a survey

2. Forrest Briggs Xiaoli Z. Fern and Raviv Raich. 2012. Rank-Loss Support Instance Machines for MIML Instance Annotation. In ACM SIGKDD. 534--542. Forrest Briggs Xiaoli Z. Fern and Raviv Raich. 2012. Rank-Loss Support Instance Machines for MIML Instance Annotation. In ACM SIGKDD. 534--542.

3. Brian Chen Bo Wu Alireza Zareian Hanwang Zhang and Shih-Fu Chang. 2020. General Partial Label Learning via Dual Bipartite Graph Autoencoder. In AAAI. 10502--10509. Brian Chen Bo Wu Alireza Zareian Hanwang Zhang and Shih-Fu Chang. 2020. General Partial Label Learning via Dual Bipartite Graph Autoencoder. In AAAI. 10502--10509.

4. Learning from Ambiguously Labeled Face Images

5. Ambiguously Labeled Learning using Dictionaries;Chen Yi-Chen;IEEE TIFS,2014

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