A novel learning-based feature recognition method using multiple sectional view representation

Shi, P., Qi, Q. orcid.org/0000-0001-5936-1714, Qin, Y. et al. (2 more authors) (2020) A novel learning-based feature recognition method using multiple sectional view representation. Journal of Intelligent Manufacturing, 31 (5). pp. 1291-1309. ISSN 0956-5515

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Item Type: Article
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© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Feature recognition; Deep learning; Multiple sectional views; Transfer learning; Data augmentation
Dates:
  • Published: June 2020
  • Published (online): 22 January 2020
  • Accepted: 2 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS)
Depositing User: Symplectic Publications
Date Deposited: 31 Oct 2023 15:29
Last Modified: 31 Oct 2023 15:29
Status: Published
Publisher: Springer
Identification Number: 10.1007/s10845-020-01533-w
Open Archives Initiative ID (OAI ID):

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