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Tensor Factorization-Based Method for Tensor Completion with Spatio-temporal Characterization.
- Source :
- Journal of Optimization Theory & Applications; Oct2023, Vol. 199 Issue 1, p337-362, 26p
- Publication Year :
- 2023
-
Abstract
- In this paper, we propose a novel tensor factorization-based method for the third-order tensor completion problem with spatio-temporal characterization. For this aim, we consider tensor fibered rank, which extends tubal rank, to improve the flexibility and accuracy of data characterization. Based on this rank, we apply a factorization-based method to complete the third-order low-rank tensors with spatio-temporal characteristics, which are intrinsic features of image, video and internet traffic tensor data. The model not only makes good use of the low-rank structure of tensors, but also takes into account the spatio-temporal characteristics of the data. Finally, we report numerical results on completing image, video and internet traffic data. The results demonstrate that our method outperforms some existing methods. [ABSTRACT FROM AUTHOR]
- Subjects :
- COMPUTER network traffic
INTERNET traffic
STREAMING video & television
Subjects
Details
- Language :
- English
- ISSN :
- 00223239
- Volume :
- 199
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Optimization Theory & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 172842280
- Full Text :
- https://doi.org/10.1007/s10957-023-02287-0