Please use this identifier to cite or link to this item:
|Title:||Automatic feature extraction for pattern recognition / by Jamie Sherrah.|
|School/Discipline:||Dept. of Electrical and Electronic Engineering|
|Abstract:||Proposes a framework for automatic feature extraction called generalised pre-processor.|
|Dissertation Note:||Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1999|
|Subject:||Pattern recognition system.|
|Description:||CD-ROM in back pocket comprises experimental results and executables.|
System 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.
Bibliography: p. 251-261.
Computer data and programs
HTML reports, data and figures generated by EPrep
xxiv, 261 p. : ill. ; 30 cm. + 1 computer laser optical disk ; 4 3/4".
|Provenance:||This 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|
|Appears in Collections:||Research Theses|
Files in This Item:
|01front.pdf||113.45 kB||Adobe PDF||View/Open|
|02whole.pdf||19.49 MB||Adobe PDF||View/Open|
|03SuppMaterial.zip||73.54 MB||Zip file||View/Open|
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