文献
J-GLOBAL ID:201702232224946888
整理番号:17A1724684
テンソルのPARAFAC分解のための行列多項式予測モデルを用いた交互最小二乗法の収束加速【Powered by NICT】
Convergence acceleration of alternating least squares with a matrix polynomial predictive model for PARAFAC decomposition of a tensor
著者 (5件):
Shi Ming
(The Research Center of Smart Networks and Systems School of Information Science and Technology, Fudan University, No. 220, Handan Rd., Shanghai, 200433, P.R. China)
,
Zhang JianQiu
(The Research Center of Smart Networks and Systems School of Information Science and Technology, Fudan University, No. 220, Handan Rd., Shanghai, 200433, P.R. China)
,
Hu Bo
(The Research Center of Smart Networks and Systems School of Information Science and Technology, Fudan University, No. 220, Handan Rd., Shanghai, 200433, P.R. China)
,
Wang Bin
(The Research Center of Smart Networks and Systems School of Information Science and Technology, Fudan University, No. 220, Handan Rd., Shanghai, 200433, P.R. China)
,
Lu Qiyong
(The Research Center of Smart Networks and Systems School of Information Science and Technology, Fudan University, No. 220, Handan Rd., Shanghai, 200433, P.R. China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
EUSIPCO
ページ:
1115-1119
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)