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A framework for run time fusion, visualization and analysis of large, distributed data sets

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dc.contributor.author Jacob, J. C. en_US
dc.contributor.author Plesea, L. en_US
dc.date.accessioned 2004-09-23T21:52:31Z
dc.date.available 2004-09-23T21:52:31Z
dc.date.issued 2001-03-10 en_US
dc.identifier.citation IEEE Aerospace Conference en_US
dc.identifier.citation Big Sky, Montana, U.S.A. en_US
dc.identifier.clearanceno 00-2247 en_US
dc.identifier.uri http://hdl.handle.net/2014/16281
dc.description.abstract In this paper a framework is presented for extracting information content from modern sky surveys, which have archived multiple terabytes of data in various wavelengths and at various resolutions. en_US
dc.format.extent 748274 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other virtual observatory visualization supercomputing en_US
dc.title A framework for run time fusion, visualization and analysis of large, distributed data sets en_US


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