ACDC: online unsupervised cross-domain adaptation

ACDC: online unsupervised cross-domain adaptation

We consider the problem of online unsupervised cross-domain adaptation, where two independent but related data streams with different feature spaces – a fully labeled source stream and an unlabeled target stream – are learned together. Unique characteristics and challenges such as covariate shift, a...

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Bibliographic Details
Main Authors: de Carvalho, Marcus, Pratama, Mahardhika, Zhang, Jie, Yee, Edward Yapp Kien
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Stream Learning
Multistream Learning
Online Access:https://hdl.handle.net/10356/170461
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/170461

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