Retraction
Frontiers in Signal Processing ·
Volume 6 - 2026 | https://doi.org/10.3389/frsip.2026.1843671
Retraction: Bayesian nonparametric learning and knowledge transfer for object tracking under unknown time-varying conditions
- Frontiers Editorial Office*corresponding author
Abstract
The journal retracts the 06 July 2022 article cited above.
Following publication, the corresponding author reached out to the editorial office to share concerns regarding the data in the article. An investigation was conducted in accordance with Frontiers’ policies. It was found that the concerns were valid and that the article does not meet the standards of editorial and scientific soundness for Frontiers in Signal Processing; therefore, the article has been retracted.
This retraction was approved by Chief Editor of Frontiers in Signal Processing and the Chief Executive Editor of Frontiers. The authors agreed with this retraction. Frontiers would like to thank the corresponding author of the manuscript who contacted us regarding the published article.
Footnotes
Approved by: Dirk Slock, EURECOM, France
Citation
Office, F. E. (2026). Retraction: Bayesian nonparametric learning and knowledge transfer for object tracking under unknown time-varying conditions. Frontiers in Signal Processing, Volume 6. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 6 - 2026
Copyright
Copyright © 2026 Frontiers Editorial Office.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Frontiers Editorial Office
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