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...

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Main Authors: Baoze MA, Guojun LI, Long XING, Changrong YE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-08-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023154/
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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
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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