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dc.contributor.advisorS.K. Mitter.en_US
dc.contributor.authorSahai, Ananten_US
dc.date.accessioned2005-08-18T15:59:11Z
dc.date.available2005-08-18T15:59:11Z
dc.date.copyright1996en_US
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/11015
dc.descriptionThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.en_US
dc.descriptionIncludes bibliographical references (leaf 47).en_US
dc.description.statementofresponsibilityby Anant Sahai.en_US
dc.format.extent47 leavesen_US
dc.format.extent3868878 bytes
dc.format.extent3868637 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.titleHandwritten character recognition using the minimum description length principleen_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.oclc35960196en_US


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