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“00-FM-SA272”18/9/2008pageiv AcademicPressisanimprintofElsevier 30CorporateDrive,Suite400,Burlington,MA01803,USA 525BStreet,Suite1900,SanDiego,California92101-4495,USA 84Theobald’sRoad,LondonWC1X8RR,UK Thisbookisprintedonacid-freepaper. (cid:2)(cid:2) Copyright©2009,ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,electronicor mechanical,includingphotocopy,recording,oranyinformationstorageandretrievalsystem,without permissioninwritingfromthepublisher. PermissionsmaybesoughtdirectlyfromElsevier’sScience&TechnologyRightsDepartmentin Oxford,UK:phone:(+44)1865843830,fax:(+44)1865853333,E-mail:[email protected]. Youmayalsocompleteyourrequeston-lineviatheElsevierhomepage(http://elsevier.com),by selecting“Support&Contact”then“CopyrightandPermission”andthen“ObtainingPermissions.” LibraryofCongressCataloging-in-PublicationData Applicationsubmitted BritishLibraryCataloguing-in-PublicationData AcataloguerecordforthisbookisavailablefromtheBritishLibrary. ISBN:978-1-59749-272-0 ForinformationonallAcademicPresspublications visitourWebsiteatwww.books.elsevier.com PrintedintheUnitedStatesofAmerica 09 10 11 12 13 14 15 16 5 4 3 2 1

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This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-d

Pattern Recognition & Matlab Intro: Pattern Recognition, Fourth Edition PDF

967 Pages·2008·13.23 MB·English

by Sergios Theodoridis

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“00-FM-SA272”18/9/2008pageiv AcademicPressisanimprintofElsevier 30CorporateDrive,Suite400,Burlington,MA01803,USA 525BStreet,Suite1900,SanDiego,California92101-4495,USA 84Theobald’sRoad,LondonWC1X8RR,UK Thisbookisprintedonacid-freepaper. (cid:2)(cid:2) Copyright©2009,ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,electronicor mechanical,includingphotocopy,recording,oranyinformationstorageandretrievalsystem,without permissioninwritingfromthepublisher. PermissionsmaybesoughtdirectlyfromElsevier’sScience&TechnologyRightsDepartmentin Oxford,UK:phone:(+44)1865843830,fax:(+44)1865853333,E-mail:[email protected]. Youmayalsocompleteyourrequeston-lineviatheElsevierhomepage(http://elsevier.com),by selecting“Support&Contact”then“CopyrightandPermission”andthen“ObtainingPermissions.” LibraryofCongressCataloging-in-PublicationData Applicationsubmitted BritishLibraryCataloguing-in-PublicationData AcataloguerecordforthisbookisavailablefromtheBritishLibrary. ISBN:978-1-59749-272-0 ForinformationonallAcademicPresspublications visitourWebsiteatwww.books.elsevier.com PrintedintheUnitedStatesofAmerica 09 10 11 12 13 14 15 16 5 4 3 2 1

Description:

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-d

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