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Semantic representation and dependency learning for multi-label image recognition.

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Bibliographic Details
Title: Semantic representation and dependency learning for multi-label image recognition.
Authors: Pu, Tao1, Sun, Mingzhan2, Wu, Hefeng1, wuhefeng@mail.sysu.edu.cn, Chen, Tianshui3, Tian, Ling4, Lin, Liang1
Source: Neurocomputing; Mar2023, Vol. 526, p121-130, 10p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161666688
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Semantic representation and dependency learning for multi-label image recognition.
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  Data: <searchLink fieldCode="AU" term="%22Pu%2C+Tao%22">Pu, Tao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sun%2C+Mingzhan%22">Sun, Mingzhan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Hefeng%22">Wu, Hefeng</searchLink><relatesTo>1</relatesTo>, <i>wuhefeng@mail.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Tianshui%22">Chen, Tianshui</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Tian%2C+Ling%22">Tian, Ling</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Liang%22">Lin, Liang</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Mar2023, Vol. 526, p121-130, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161666688
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neucom.2023.01.018
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 121
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      – TitleFull: Semantic representation and dependency learning for multi-label image recognition.
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            NameFull: Sun, Mingzhan
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            NameFull: Wu, Hefeng
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            NameFull: Chen, Tianshui
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            NameFull: Tian, Ling
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              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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              Value: 09252312
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              Value: 526
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