张量多进分解的性能指标

P. Comon, K. Minaoui, Awatif Rouijel, D. Aboutajdine
{"title":"张量多进分解的性能指标","authors":"P. Comon, K. Minaoui, Awatif Rouijel, D. Aboutajdine","doi":"10.5281/ZENODO.43613","DOIUrl":null,"url":null,"abstract":"It is proposed to isolate the computation of the scaling matrix in CP tensor decompositions. This has two implications. First, the conditioning of the problem shows up explicitly, and could be controlled via a constraint on the so-called coherences. Second, a performance measure concerning only the factor matrices can be exactly calculated, and does not present the optimistic bias of the minimal error generally utilized in the literature. In fact, for tensors of order d, it suffices to solve a degree-2 polynomial system in d variables. We subsequently give an explicit solution when d = 3.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance index for tensor polyadic decompositions\",\"authors\":\"P. Comon, K. Minaoui, Awatif Rouijel, D. Aboutajdine\",\"doi\":\"10.5281/ZENODO.43613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is proposed to isolate the computation of the scaling matrix in CP tensor decompositions. This has two implications. First, the conditioning of the problem shows up explicitly, and could be controlled via a constraint on the so-called coherences. Second, a performance measure concerning only the factor matrices can be exactly calculated, and does not present the optimistic bias of the minimal error generally utilized in the literature. In fact, for tensors of order d, it suffices to solve a degree-2 polynomial system in d variables. We subsequently give an explicit solution when d = 3.\",\"PeriodicalId\":400766,\"journal\":{\"name\":\"21st European Signal Processing Conference (EUSIPCO 2013)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st European Signal Processing Conference (EUSIPCO 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.43613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st European Signal Processing Conference (EUSIPCO 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.43613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

提出了分离CP张量分解中尺度矩阵计算的方法。这有两个含义。首先,问题的条件明确地显示出来,并且可以通过对所谓的相干性的约束来控制。其次,仅涉及因子矩阵的性能度量可以精确计算,并且不存在文献中通常使用的最小误差的乐观偏差。事实上,对于d阶张量,它足以解一个有d个变量的2次多项式系统。我们随后给出了当d = 3时的显式解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance index for tensor polyadic decompositions
It is proposed to isolate the computation of the scaling matrix in CP tensor decompositions. This has two implications. First, the conditioning of the problem shows up explicitly, and could be controlled via a constraint on the so-called coherences. Second, a performance measure concerning only the factor matrices can be exactly calculated, and does not present the optimistic bias of the minimal error generally utilized in the literature. In fact, for tensors of order d, it suffices to solve a degree-2 polynomial system in d variables. We subsequently give an explicit solution when d = 3.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信