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Stream label distribution learning processing via broad learning system
Wang, Guangtai1; Huang, Jintao2; Vong, Chi Man1
2024-08-01
Source PublicationInformation Sciences
ISSN0020-0255
Volume677Pages:120836
Abstract

Label distribution learning (LDL) is designed for label ambiguity problem which widely exists in tasks like image classification and sentiment analysis. Nevertheless, most existing LDL methods adopt a batch-wise processing strategy that is not applicable to stream data issues, like video semantic segmentation and object tracking in auto-driving applications. For these scenarios where dynamic new data is generated continuously, stream LDL processing can be applied to reflect the changes in time and improve the accuracy of online prediction. This paper proposes a novel broad learning system (BLS) based online label distribution learning framework (SLD_BLS). Broad learning system was adopted as the baseline model because its incremental weight updating scheme, excellent efficiency, and outstanding performance can process streaming data in dynamically changing environments. However, there are several challenges to adapt BLS for LDL: 1) BLS's update rule cannot process LDL data; 2) BLS cannot show the mapping relationship between feature space and label space; 3) BLS neglects the inter-label relationships. To tackle these challenges, 1) a new weight update rule for LDL is designed; 2) a manifold regularization is applied to exploit the feature space manifolds; 3) an explicit label collaborating approach is introduced to positively bootstrapping the model training. Extensive experiments on 13 label distribution datasets indicated the performance of SLD_BLS outperforms 9 state-of-the-art LDL models on most datasets with significant reductions in training time across 6 metrics.

KeywordBroad Learning System Label Ambiguity Label Distribution Stream Data
DOI10.1016/j.ins.2024.120836
URLView the original
Language英語English
PublisherElsevier Inc.
Scopus ID2-s2.0-85195582262
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorVong, Chi Man
Affiliation1.Department of Computer and Information Science, University of Macau, Macao
2.Department of Computer Science, Hong Kong Baptist University, Hong Kong
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang, Guangtai,Huang, Jintao,Vong, Chi Man. Stream label distribution learning processing via broad learning system[J]. Information Sciences, 2024, 677, 120836.
APA Wang, Guangtai., Huang, Jintao., & Vong, Chi Man (2024). Stream label distribution learning processing via broad learning system. Information Sciences, 677, 120836.
MLA Wang, Guangtai,et al."Stream label distribution learning processing via broad learning system".Information Sciences 677(2024):120836.
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