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Studying the Sky/Planets Can Drown You in Images: Machine Learning Solutions at JPL/Caltech

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dc.contributor.author Fayyad, U.M. en_US
dc.date.accessioned 2004-10-01T21:47:34Z
dc.date.available 2004-10-01T21:47:34Z
dc.date.issued 1995-05 en_US
dc.identifier.citation Ulm, Germany; Karlsruhe, Germany en_US
dc.identifier.clearanceno 95-0359 en_US
dc.identifier.uri http://hdl.handle.net/2014/29180
dc.description.abstract JPL is working to develop a domain-independent system capable of small-scale object recognition in large image databases for science analysis. Two applications discussed are the cataloging of three billion sky objects in the Sky Image Cataloging and Analysis Tool (SKICAT) and the detection of possibly one million small volcanoes visible in the Magellan synthetic aperture radar images of Venus (JPL Adaptive Recognition Tool, JARTool). en_US
dc.format.extent 38275 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other pattern recognition machine learning sky surveys (astronomy) SKICAT JARtool geomorphology en_US
dc.title Studying the Sky/Planets Can Drown You in Images: Machine Learning Solutions at JPL/Caltech en_US


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