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dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorFranklin, W. Randolph
dc.contributorFox, Peter A.
dc.contributorWozny, M. J. (Michael J.)
dc.contributorKrishnamoorthy, M. S.
dc.contributor.authorLi, You
dc.date.accessioned2021-11-03T10:16:16Z
dc.date.available2021-11-03T10:16:16Z
dc.date.created2011-10-17T11:51:15Z
dc.date.issued2011-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3395
dc.descriptionAugust 2011
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer science
dc.titleCUDA-accelerated HD-ODETLAP: a high dimensional geospatial data compression framework
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid31412
dc.digitool.pid31413
dc.digitool.pid31415
dc.digitool.pid31414
dc.digitool.pid31416
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Computer Science


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.