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dc.contributor.advisorPatrick H. Winston.en_US
dc.contributor.authorKahan, Michael Alanen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-06-19T17:44:11Z
dc.date.available2006-06-19T17:44:11Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33132
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (leaves 75-76).en_US
dc.description.abstractHumans' ability to arrange the individual pieces of a set of information is paramount to their understanding of the set as a whole. The physical arrangement of pieces of information yields important clues as to how those pieces are related. This thesis focuses on computer analysis of physical arrangements and use of perceived physical relations, such as horizontal and vertical alignment, in determining which pieces of information are most likely related. The computer program described in this thesis demonstrates that once a computer can deduce physical relations between pieces of information, it can learn to order the information as a human would with great accuracy. The information analysis methods presented in this thesis are of benefit to projects that deal with user collaboration and the sorting of data based on relative importance, such as the Electronic Card Wall (EWall) project.en_US
dc.description.statementofresponsibilityby Michael Alan Kahan.en_US
dc.format.extent76 leavesen_US
dc.format.extent3165294 bytes
dc.format.extent3168441 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 Science.en_US
dc.titleComputer analysis, learning and creation of physical arrangements of informationen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc62241462en_US


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