Design of Optimal Feature Extractors by Mathematical Programming Techniques

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dc.citation.bibtexNametechreporten_US
dc.citation.issueNumber7608en_US
dc.citation.journalTitleRice University ECE Technical Reporten_US
dc.contributor.authorde Figueiredo, Rui J.P.en_US
dc.date.accessioned2007-10-31T00:42:16Zen_US
dc.date.available2007-10-31T00:42:16Zen_US
dc.date.issued1976-06-20en_US
dc.date.modified2003-07-22en_US
dc.date.submitted2003-07-18en_US
dc.descriptionTech Reporten_US
dc.description.abstractIn an automatic pattern recognition system, the processor that selects and measures features fo the data, on the basis of which classification is made, is called a "feature selector" or "feature extractor". This paper presents a mathematical programming approach for the design of a feature extractor.en_US
dc.identifier.citationR. J. de Figueiredo, "Design of Optimal Feature Extractors by Mathematical Programming Techniques," <i>Rice University ECE Technical Report,</i> no. 7608, 1976.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19847en_US
dc.language.isoengen_US
dc.subjectextractorsen_US
dc.subjectmathematical programmingen_US
dc.subject.keywordextractorsen_US
dc.subject.keywordmathematical programmingen_US
dc.titleDesign of Optimal Feature Extractors by Mathematical Programming Techniquesen_US
dc.typeReporten_US
dc.type.dcmiTexten_US
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