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Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4003
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dc.contributor.authorRaichaudhuri, Rittika-
dc.date.accessioned2022-07-14T12:01:07Z-
dc.date.available2022-07-14T12:01:07Z-
dc.date.issued2016-04-
dc.identifier.citationUnder the guidance of Mr. Anil Kumar, UPESen_US
dc.identifier.urihttp://hdl.handle.net/123456789/4003-
dc.descriptionSubmitted in partial fulfillment of the requirements for the degree of M. Tech (Artificial Intelligence and Artificial Neural Network)en_US
dc.language.isoenen_US
dc.publisherDepartment of Computer Science & Engineering, UPES, Dehradunen_US
dc.subjectDissertationen_US
dc.subjectComputer Science Engineeringen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectArtificial Neural Networken_US
dc.subjectRedundancy Removalen_US
dc.subjectImage Databasesen_US
dc.titleData redundancy removal in object databases using clustering techniquesen_US
dc.typeThesisen_US
Appears in Collections:Post Graduate

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