Guided Discrimination and Correlation Subspace Learning for Domain Adaptation-Reference-Cited by-同舟云学术

Guided Discrimination and Correlation Subspace Learning for Domain Adaptation

Published:2023 Issue: Volume:32 Page:2017-2032
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lu Yuwu¹^ORCID,Wong Wai Keung²^ORCID,Zeng Biqing¹,Lai Zhihui³^ORCID,Li Xuelong⁴^ORCID

Affiliation:

1. School of Software, South China Normal University, Foshan, China

2. Laboratory for Artificial Intelligence in Design, Hong Kong, China

3. Guangdong Laboratory of Artificial Intelligence and Digital Economy and the College of Computer Science and Software Engineering, Shenzhen University (SU), Shenzhen, China

4. chool of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Laboratory for Artificial Intelligence in Design

InnoHK Research Clusters, Hong Kong SAR Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10087317.pdf?arnumber=10087317

Reference80 articles.

1. Locality Preserving Joint Transfer for Domain Adaptation

2. The CMU pose, illumination, and expression database

3. Guide Subspace Learning for Unsupervised Domain Adaptation

4. Bregman Divergence-Based Regularization for Transfer Subspace Learning

5. Deep Domain Generalization With Structured Low-Rank Constraint

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