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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/19264
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dc.contributor.authorSherrah, Jamieen
dc.date.issued1998en
dc.identifier.urihttp://hdl.handle.net/2440/19264-
dc.descriptionCD-ROM in back pocket comprises experimental results and executables.en
dc.descriptionSystem requirements: Unix workstation or PC with Windows 95 or Windows NT. The reports output by EPrep. can be viewed with a web browser such as Netscape or Microsoft Internet Explorer through the top level HTML page.en
dc.descriptionBibliography: p. 251-261.en
dc.descriptionComputer data and programsen
dc.descriptionHTML reports, data and figures generated by EPrepen
dc.descriptionxxiv, 261 p. : ill. ; 30 cm. + 1 computer laser optical disk ; 4 3/4".en
dc.description.abstractProposes a framework for automatic feature extraction called generalised pre-processor.en
dc.format.extent116173 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.relation.requiresHTML reports, data and figures generated by EPrepen
dc.subject.lcshPattern recognition system.en
dc.titleAutomatic feature extraction for pattern recognition / by Jamie Sherrah.en
dc.typeThesisen
dc.contributor.schoolDept. of Electrical and Electronic Engineeringen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals-
dc.description.dissertationThesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1999en
Appears in Collections:Research Theses

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02whole.pdf19.49 MBAdobe PDFView/Open
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