Design of Optimal Feature Extractors by Mathematical Programming Techniques
dc.citation.bibtexName | techreport | en_US |
dc.citation.issueNumber | 7608 | en_US |
dc.citation.journalTitle | Rice University ECE Technical Report | en_US |
dc.contributor.author | de Figueiredo, Rui J.P. | en_US |
dc.date.accessioned | 2007-10-31T00:42:16Z | |
dc.date.available | 2007-10-31T00:42:16Z | |
dc.date.issued | 1976-06-20 | |
dc.date.modified | 2003-07-22 | en_US |
dc.date.submitted | 2003-07-18 | en_US |
dc.description | Tech Report | en_US |
dc.description.abstract | In 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.citation | R. J. de Figueiredo, "Design of Optimal Feature Extractors by Mathematical Programming Techniques," <i>Rice University ECE Technical Report,</i> no. 7608, 1976. | |
dc.identifier.uri | https://hdl.handle.net/1911/19847 | |
dc.language.iso | eng | |
dc.subject | extractors | * |
dc.subject | mathematical programming | * |
dc.subject.keyword | extractors | en_US |
dc.subject.keyword | mathematical programming | en_US |
dc.title | Design of Optimal Feature Extractors by Mathematical Programming Techniques | en_US |
dc.type | Report | |
dc.type.dcmi | Text |
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