An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning.
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| Title: | An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. |
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| Authors: | Gao, Lei1, iegaolei@gmail.com, Guo, Zheng1, zjguo@ryerson.ca, Guan, Ling1, lguan2007@hotmail.com |
| Source: | ACM Transactions on Multimedia Computing, Communications & Applications; Jul2024, Vol. 20 Issue 7, p1-23, 23p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177323551 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177323551 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3649466 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1 Titles: – TitleFull: An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gao, Lei – PersonEntity: Name: NameFull: Guo, Zheng – PersonEntity: Name: NameFull: Guan, Ling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15516857 Numbering: – Type: volume Value: 20 – Type: issue Value: 7 Titles: – TitleFull: ACM Transactions on Multimedia Computing, Communications & Applications Type: main |
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