Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/422210
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dc.coverage.spatial
dc.date.accessioned2022-12-07T10:01:48Z-
dc.date.available2022-12-07T10:01:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/422210-
dc.description.abstractAbstract Attached
dc.format.extentxvi, 114 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleContent Based Image Retrieval by Integrating Effective Local and Global Features
dc.title.alternative
dc.creator.researcherKumar, Kanaparthi Suresh
dc.subject.keywordComputer Science
dc.subject.keywordContent-Based Image Retrieval
dc.subject.keywordDeep Convolutional Neural Networks
dc.subject.keywordDiagonally Symmetric Pattern
dc.subject.keywordEngineering and Technology
dc.subject.keywordHue, Saturation and Intensity
dc.description.note
dc.contributor.guideRaju, U.S.N.
dc.publisher.placeWarangal
dc.publisher.universityNational Institute of Technology (NIT), Warangal
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialNone
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 File27.38 kBAdobe PDFView/Open
02_declaration.pdf190.62 kBAdobe PDFView/Open
03_certificate.pdf164.79 kBAdobe PDFView/Open
04_acknowledgement.pdf86.15 kBAdobe PDFView/Open
05_abstract.pdf197.19 kBAdobe PDFView/Open
06_content.pdf201.7 kBAdobe PDFView/Open
07_list of tables and figures.pdf219.14 kBAdobe PDFView/Open
08_algorithms.pdf191.72 kBAdobe PDFView/Open
09_abbreviations.pdf86.66 kBAdobe PDFView/Open
10_chapter 1.pdf1.06 MBAdobe PDFView/Open
11_chapter 2.pdf727.48 kBAdobe PDFView/Open
12_chapter 3.pdf482.14 kBAdobe PDFView/Open
13_chapter 4.pdf319.92 kBAdobe PDFView/Open
14_chapter 5.pdf267.27 kBAdobe PDFView/Open
15_chapter 6.pdf470.72 kBAdobe PDFView/Open
16_chapter 7.pdf24.66 kBAdobe PDFView/Open
17_references.pdf353.59 kBAdobe PDFView/Open
80_recommendation.pdf40.76 kBAdobe PDFView/Open


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