Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/526348
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DC FieldValueLanguage
dc.coverage.spatialDepartment of Computer Science and Engineering
dc.date.accessioned2023-11-17T12:25:29Z-
dc.date.available2023-11-17T12:25:29Z-
dc.identifier.urihttp://hdl.handle.net/10603/526348-
dc.description.abstractAbstract attached newline newline
dc.format.extentNA
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleAnomaly detection in images using one class and multi class learning approaches
dc.title.alternativeNa
dc.creator.researcherSharma, Renuka
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.description.noteNA
dc.contributor.guideAwate, Suyash P. and Banerjee, Biplab
dc.publisher.placeMumbai
dc.publisher.universityIndian Institute of Technology Bombay
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
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01_title.pdfAttached File113.8 kBAdobe PDFView/Open
02_prelimpages.pdf370.74 kBAdobe PDFView/Open
03_abstract.pdf43.94 kBAdobe PDFView/Open
04_contents.pdf177.29 kBAdobe PDFView/Open
05_chapter_1.pdf82.38 kBAdobe PDFView/Open
06_chapter_2.pdf80.49 kBAdobe PDFView/Open
07_chapter_3.pdf9.75 MBAdobe PDFView/Open
08_chapter_4.pdf904.97 kBAdobe PDFView/Open
09_chapter_5.pdf7.85 MBAdobe PDFView/Open
10_chapter_6.pdf3.78 MBAdobe PDFView/Open
11_appendix.pdf161.33 kBAdobe PDFView/Open
80_recommendation.pdf54.6 kBAdobe PDFView/Open


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