Cross-Domain Recognition via Projective Cross-Reconstruction-Reference-Cited by-同舟云学术

Cross-Domain Recognition via Projective Cross-Reconstruction

Published:2022-12 Issue:12 Volume:52 Page:7366-7377
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Fang Xiaozhao¹^ORCID,Jiang Lin²,Han Na³^ORCID,Sun Weijun⁴,Xu Yong⁵^ORCID,Xie Shengli⁶^ORCID

Affiliation:

1. School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China

2. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

3. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

4. School of Automation and the Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China

5. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China

6. School of Automation and the Guangdong–Hong Kong–Macao Joint Laboratory for Smart Discrete Manufacturing, Guangdong University of Technology, Guangzhou, China

Funder

Guangdong Provincial Key Areas of Research and Development Program

National Natural Science Foundation of China

Guangdong Provincial Natural Science Foundation

Science and Technology Planning Project of Guangdong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/9954243/09732521.pdf?arnumber=9732521

Reference51 articles.

1. Locality Preserving Joint Transfer for Domain Adaptation

2. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

3. Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors

4. Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations

5. Distributionmatching embedding for visual domain adaptation;baktashmotlagh;J Mach Learn Res,2016

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CKDH: CLIP-Based Knowledge Distillation Hashing for Cross-Modal Retrieval;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

2. Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition;IEEE Transactions on Computational Social Systems;2024-06

3. Domain-invariant feature learning with label information integration for cross-domain classification;Neural Computing and Applications;2024-04-24

4. Joint Multi-View Unsupervised Feature Selection and Graph Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

5. Joint Category Compactness and Disturbance Reduction for Cross-Domain Classification;IEEE Transactions on Instrumentation and Measurement;2024