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Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

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IEEE Transactions on Pattern Analysis and Machine Intelligence_35_7_2013.pdfAccepted version2.84 MBAdobe PDFView/Open
Title: Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method
Authors: Zhao, Q
Caiafa, CF
Mandic, DP
Chao, ZC
Nagasaka, Y
Fujii, N
Zhang, L
Cichocki, A
Item Type: Journal Article
Issue Date: 1-Jan-2013
URI: http://hdl.handle.net/10044/1/15284
DOI: http://dx.doi.org/10.1109/TPAMI.2012.254
ISSN: 0162-8828
Publisher: IEEE COMPUTER SOC
Start Page: 1660
End Page: 1673
Journal / Book Title: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume: 35
Issue: 7
Copyright Statement: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publication Status: Published
Appears in Collections:Electrical and Electronic Engineering



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