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Novel statistical multiresolution techniques for image synthesis, discrimination, and recognition

dc.contributor.advisorPaul Viola.en_US
dc.contributor.authorDe Bonet, Jeremy Sen_US
dc.date.accessioned2005-08-18T20:34:22Z
dc.date.available2005-08-18T20:34:22Z
dc.date.copyright1997en_US
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/10428
dc.descriptionThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.en_US
dc.descriptionIncludes bibliographical references (p. 194-201).en_US
dc.description.statementofresponsibilityby Jeremy S. De Bonet.en_US
dc.format.extent201 p.en_US
dc.format.extent17295576 bytes
dc.format.extent17295335 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
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/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleNovel statistical multiresolution techniques for image synthesis, discrimination, and recognitionen_US
dc.typeThesisen_US
dc.description.degreeM.S.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc37624368en_US


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