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Blind Source Separation by Nonnegative Matrix Factorization with Minimum-Volume Constraint

Yang, Zuyuan, Zhou, Guoxu, Ding, Shuxue and Xie, Shengli 2010, Blind Source Separation by Nonnegative Matrix Factorization with Minimum-Volume Constraint, in ICICIP 2010 : Proceedings of the International Conference on Intelligent Control and Information Processing 2010, IEEE Xplore, Piscataway, New Jersey, pp. 117-119, doi: 10.1109/ICICIP.2010.5565228.

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Title Blind Source Separation by Nonnegative Matrix Factorization with Minimum-Volume Constraint
Author(s) Yang, Zuyuan
Zhou, Guoxu
Ding, Shuxue
Xie, Shengli
Conference name Intelligent Control and Information Processing. Conference (2010 : Dalian, China)
Conference location Dalian, China
Conference dates 13-15 Aug. 2010
Title of proceedings ICICIP 2010 : Proceedings of the International Conference on Intelligent Control and Information Processing 2010
Editor(s) [Unknown]
Publication date 2010
Conference series Intelligent Control and Information Processing International Conference
Start page 117
End page 119
Total pages 3
Publisher IEEE Xplore
Place of publication Piscataway, New Jersey
Summary Recently, nonnegative matrix factorization (NMF) attracts more and more attentions for the promising of wide applications. A problem that still remains is that, however, the factors resulted from it may not necessarily be realistically interpretable. Some constraints are usually added to the standard NMF to generate such interpretive results. In this paper, a minimum-volume constrained NMF is proposed and an efficient multiplicative update algorithm is developed based on the natural gradient optimization. The proposed method can be applied to the blind source separation (BSS) problem, a hot topic with many potential applications, especially if the sources are mutually dependent. Simulation results of BSS for images show the superiority of the proposed method.
ISBN 9781424470471
Language eng
DOI 10.1109/ICICIP.2010.5565228
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30059211

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.