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Collaborative Learning to Improve the Non-uniqueness of NMF.

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Title: Collaborative Learning to Improve the Non-uniqueness of NMF.
Authors: Benlamine, Kaoutar1,2, kaoutar.benlamine@sorbonne-paris-nord.fr, Bennani, Younes1,2, younes.bennani@sorbonne-paris-nord.fr, Matei, Basarab1,2, basarab.matei@sorbonne-paris-nord.fr, Grozavu, Nistor1,2, nistor.grozavu@sorbonne-paris-nord.fr, Falih, Issam2,3, issam.falih@uca.fr
Source: International Journal of Computational Intelligence & Applications; Mar2022, Vol. 21 Issue 1, p1-24, 24p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156295904
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computational+Intelligence+%26+Applications%22">International Journal of Computational Intelligence & Applications</searchLink>; Mar2022, Vol. 21 Issue 1, p1-24, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156295904
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S1469026822500018
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: Collaborative Learning to Improve the Non-uniqueness of NMF.
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            NameFull: Benlamine, Kaoutar
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            NameFull: Bennani, Younes
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            NameFull: Matei, Basarab
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            NameFull: Grozavu, Nistor
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            NameFull: Falih, Issam
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            – D: 01
              M: 03
              Text: Mar2022
              Type: published
              Y: 2022
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