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dc.contributor.advisorTommi Jaakkola.en_US
dc.contributor.authorVassef, Hoomanen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-05-07T16:49:53Z
dc.date.available2014-05-07T16:49:53Z
dc.date.copyright2000en_US
dc.date.issued2000en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/86566
dc.descriptionThesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.en_US
dc.descriptionIncludes bibliographical references (leaves 38-39).en_US
dc.description.statementofresponsibilityby Hooman Vassef.en_US
dc.format.extent39 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleCombining fast search and learning for scalable similarity searchen_US
dc.typeThesisen_US
dc.description.degreeS.B.and M.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc47004575en_US


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