Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333537
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-07-28T06:18:16Z-
dc.date.available2021-07-28T06:18:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/333537-
dc.description.abstractnewline
dc.format.extentxvii, 125p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEfficient approaches for facial expression recognition using hybrid features
dc.title.alternative
dc.creator.researcherMichael revina I
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSam Emmanuel W R
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Computer Science and Engg.
dc.date.registered
dc.date.completed2019
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engg.

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File84.28 kBAdobe PDFView/Open
02_certificate.pdf78.67 kBAdobe PDFView/Open
04_acknowledgement.pdf83.6 kBAdobe PDFView/Open
05_table of content.pdf78.07 kBAdobe PDFView/Open
06_list of tables.pdf58.52 kBAdobe PDFView/Open
07_list of figures.pdf70.08 kBAdobe PDFView/Open
08_list of symbols.pdf83.94 kBAdobe PDFView/Open
09_list of abbreviations.pdf90.85 kBAdobe PDFView/Open
10_chapter 1.pdf668.93 kBAdobe PDFView/Open
11_chapter 2.pdf166.57 kBAdobe PDFView/Open
12_chapter 3.pdf417.78 kBAdobe PDFView/Open
13_chapter 4.pdf656.95 kBAdobe PDFView/Open
14_chapter 5.pdf589.7 kBAdobe PDFView/Open
80_recommendation.pdf9.21 kBAdobe PDFView/Open


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