Adaptive tensor train learning algorithm based on single-aspect streaming model
An adaptive tensor train (TT) learning algorithm for the online decomposition problem of high-order tensors in single-aspect streaming model was investigated.Firstly, it was deduced that single-aspect streaming increment only changes the dimension of temporal TT core.Secondly, the forgetting factor...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2023-08-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023154/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841540043041144832 |
---|---|
author | Baoze MA Guojun LI Long XING Changrong YE |
author_facet | Baoze MA Guojun LI Long XING Changrong YE |
author_sort | Baoze MA |
collection | DOAJ |
description | An adaptive tensor train (TT) learning algorithm for the online decomposition problem of high-order tensors in single-aspect streaming model was investigated.Firstly, it was deduced that single-aspect streaming increment only changes the dimension of temporal TT core.Secondly, the forgetting factor and regularization item were introduced to construct the objective function of exponentially weighted least-squares.Finally, the block-coordinate descent learning strategy was used to estimate the temporal and non-temporal TT core tensors respectively.Simulation results demonstrate that the proposed algorithm is validated in terms of increment size, TT-rank, noise and time-varying intensity, the average relative error and operation time are smaller than that of the comparison algorithms.The tensor slice reconstruction ability is superior than that of the comparison algorithms in the video adaptive analysis. |
format | Article |
id | doaj-art-5f56c7058b0a44629a9f0b9f0c040109 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2023-08-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-5f56c7058b0a44629a9f0b9f0c0401092025-01-14T06:22:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-08-0144273659385640Adaptive tensor train learning algorithm based on single-aspect streaming modelBaoze MAGuojun LILong XINGChangrong YEAn adaptive tensor train (TT) learning algorithm for the online decomposition problem of high-order tensors in single-aspect streaming model was investigated.Firstly, it was deduced that single-aspect streaming increment only changes the dimension of temporal TT core.Secondly, the forgetting factor and regularization item were introduced to construct the objective function of exponentially weighted least-squares.Finally, the block-coordinate descent learning strategy was used to estimate the temporal and non-temporal TT core tensors respectively.Simulation results demonstrate that the proposed algorithm is validated in terms of increment size, TT-rank, noise and time-varying intensity, the average relative error and operation time are smaller than that of the comparison algorithms.The tensor slice reconstruction ability is superior than that of the comparison algorithms in the video adaptive analysis.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023154/adaptive learning algorithmtensor train decompositionsingle-aspect streaming modelubiquitous data stream |
spellingShingle | Baoze MA Guojun LI Long XING Changrong YE Adaptive tensor train learning algorithm based on single-aspect streaming model Tongxin xuebao adaptive learning algorithm tensor train decomposition single-aspect streaming model ubiquitous data stream |
title | Adaptive tensor train learning algorithm based on single-aspect streaming model |
title_full | Adaptive tensor train learning algorithm based on single-aspect streaming model |
title_fullStr | Adaptive tensor train learning algorithm based on single-aspect streaming model |
title_full_unstemmed | Adaptive tensor train learning algorithm based on single-aspect streaming model |
title_short | Adaptive tensor train learning algorithm based on single-aspect streaming model |
title_sort | adaptive tensor train learning algorithm based on single aspect streaming model |
topic | adaptive learning algorithm tensor train decomposition single-aspect streaming model ubiquitous data stream |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023154/ |
work_keys_str_mv | AT baozema adaptivetensortrainlearningalgorithmbasedonsingleaspectstreamingmodel AT guojunli adaptivetensortrainlearningalgorithmbasedonsingleaspectstreamingmodel AT longxing adaptivetensortrainlearningalgorithmbasedonsingleaspectstreamingmodel AT changrongye adaptivetensortrainlearningalgorithmbasedonsingleaspectstreamingmodel |