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Published in: Complex & Intelligent Systems 4/2023

Open Access 20-12-2022 | Correction

Correction to: Manifold learning for novelty detection and its application in gesture recognition

Authors: Yang Luo, Yibiao Yuan, Wei Zheng, Xiaohui Mo

Published in: Complex & Intelligent Systems | Issue 4/2023

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Notes
The original article can be found online at https://​doi.​org/​10.​1007/​s40747-022-00702-z.

Publisher's Note

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Correction to: Complex & Intelligent Systems (2022) 8:4089–4100 https://doi.org/10.1007/s40747-022-00702-z
The article “Manifold learning for novelty detection and its application in gesture recognition” written by Yang Luo, Yibiao Yuan, Wei Zheng, Xiaohui Mo is a regular article which is published in 40747_8_5 as regular article.
Open AccessThis 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/​.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Metadata
Title
Correction to: Manifold learning for novelty detection and its application in gesture recognition
Authors
Yang Luo
Yibiao Yuan
Wei Zheng
Xiaohui Mo
Publication date
20-12-2022
Publisher
Springer International Publishing
Published in
Complex & Intelligent Systems / Issue 4/2023
Print ISSN: 2199-4536
Electronic ISSN: 2198-6053
DOI
https://doi.org/10.1007/s40747-022-00951-y

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