Workpiece classification based on transfer component analysis-Reference-Cited by-同舟云学术

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Workpiece classification based on transfer component analysis

Published:2022-11-01 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Qiao Liyong^ORCID,Zhang Shuang,Liu Chungang,Jin Huilong,Zhao Hua,Yao Jian,Cao Lingru,Ji Yujia

Funder

Industry-UniversityResearch Innovation Foundation of Chinese University-Blue Dot Distributed Intelligent Computing Project

Science Foundation of Hebei Normal University

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-022-03173-9.pdf

Reference33 articles.

1. Chen, C., Abdullah, A., Kok, S. H., & Tien, D. T. K. (2022). Review of industry workpiece classification and defect detection using deep learning. International Journal of Advanced Computer Science and Applications, 13(4), 329–340.

2. Shi, G., Zhang, Y., & Zeng, M. (2021). A fast workpiece detection method based on multi-feature fused SSD. Engineering Computations, 38(10), 3836–3852.

3. Pan, S. J., Tsang, I. W., Kwok, J. T., & Yang, Q. (2010). Domain adaptation via transfer component analysis. IEEE Transactions on Neural Networks, 22(2), 199–210.

4. Matasci, G., Volpi, M., Tuia, D., & Kanevski, M. (2011). Transfer component analysis for domain adaptation in image classification. In Image and signal processing for remote sensing XVII (Vol. 8180, pp. 125–133). SPIE.

5. Liu, Y., Zhang, Y., Coleman, S., & Chi, J. (2018). Joint transfer component analysis and metric learning for person re-identification. Electronics Letters, 54(13), 821–823.

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