Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization.
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| Title: | Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization. |
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| Authors: | Zhang, Shaohua1, Yang, Hua1, Yin, Zhou-Ping1 |
| Source: | IEEE Signal Processing Letters; Apr2016, Vol. 23 Issue 4, p478-482, 5p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 115133209 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Shaohua%22">Zhang, Shaohua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Hua%22">Yang, Hua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yin%2C+Zhou-Ping%22">Yin, Zhou-Ping</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Signal+Processing+Letters%22">IEEE Signal Processing Letters</searchLink>; Apr2016, Vol. 23 Issue 4, p478-482, 5p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=115133209 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/LSP.2016.2533721 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 478 Titles: – TitleFull: Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Shaohua – PersonEntity: Name: NameFull: Yang, Hua – PersonEntity: Name: NameFull: Yin, Zhou-Ping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 10709908 Numbering: – Type: volume Value: 23 – Type: issue Value: 4 Titles: – TitleFull: IEEE Signal Processing Letters Type: main |
| ResultId | 1 |