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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Label Distribution Learning by Exploiting Label Correlations

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Xiuyi Jia

Nanjing University of Science and Technology


Weiwei Li

Nanjing University of Aeronautics and Astronautics


Junyu Liu

Nanjing University of Science and Technology


Yu Zhang

East China University of Science and Technology


DOI:

10.1609/aaai.v32i1.11664


Abstract:

Label distribution learning (LDL) is a newly arisen machine learning method that has been increasingly studied in recent years. In theory, LDL can be seen as a generalization of multi-label learning. Previous studies have shown that LDL is an effective approach to solve the label ambiguity problem. However, the dramatic increase in the number of possible label sets brings a challenge in performance to LDL. In this paper, we propose a novel label distribution learning algorithm to address the above issue. The key idea is to exploit correlations between different labels. We encode the label correlation into a distance to measure the similarity of any two labels. Moreover, we construct a distance-mapping function from the label set to the parameter matrix. Experimental results on eight real label distributed data sets demonstrate that the proposed algorithm performs remarkably better than both the state-of-the-art LDL methods and multi-label learning methods.

Topics: AAAI

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HOW TO CITE:

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang Label Distribution Learning by Exploiting Label Correlations Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang Label Distribution Learning by Exploiting Label Correlations AAAI 2018, .

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang (2018). Label Distribution Learning by Exploiting Label Correlations. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. Label Distribution Learning by Exploiting Label Correlations. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. 2018. Label Distribution Learning by Exploiting Label Correlations. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. (2018) "Label Distribution Learning by Exploiting Label Correlations", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang, "Label Distribution Learning by Exploiting Label Correlations", AAAI, p., 2018.

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. "Label Distribution Learning by Exploiting Label Correlations". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. "Label Distribution Learning by Exploiting Label Correlations". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Xiuyi Jia||Weiwei Li||Junyu Liu||Yu Zhang. Label Distribution Learning by Exploiting Label Correlations. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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