模式分类(英文版)Pattern Classification

模式分类(英文版)Pattern Classification

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时间:2019-06-29

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1、1ToC.A.RosenandC.W.Stork2PrefaceurpurposesinwritingthisSecondEdition

2、morethanaquartercenturyaf-Otertheoriginal

3、remainthesame:togiveasystematicaccountofthemajortopicsinpatternrecognition,basedwheneverpossibleonfundamentalprinciples.Webelievethatthisprovidesth

4、erequiredfoundationforsolvingproblemsinmorespe-cializedapplicationareassuchasspeechrecognition,opticalcharacterrecognition,signalanalysis,andsoon.Since1973,therehasbeenanimmensewealthofe®ort,andinmanycasesprogress,onthetopicsweaddressedintheFirstEdition.Thep

5、aceofprogressinalgorithmsforlearningandpatternrecognitionhasbeenexceededonlybytheimprovementsincomputerhardware.SomeoftheoutstandingproblemsacknowledgedintheFirstEditionhavebeensolved,whereasothersremainasfrus-tratingasever.Takenwiththemanifestusefulnessofpa

6、tternrecognition,thismakesthe¯eldextremelyvigorousandexciting.Whilewewrotethenthatpatternrecognitionmightappeartobearatherspecial-izedtopic,itisnowabundantlyclearthatpatternrecognitionisanimmenselybroadsubject,withapplicationsin¯eldsasdiverseasspeechrecognit

7、ion,opticalcharacterrecognition,handwritingandgesturerecognition,lipreading,geologicalanalysis,doc-umentsearchingandtherecognitionofbubblechambertracksinelementaryparticleaccelerators;itcentraltoahostofman-machineinterfaceproblems,suchaspen-basedcomputing.Th

8、esizeofthecurrentvolume(whichprecludedmaterialonsceneanalysis,includedinthe¯rstedition)isatestamenttothebodyofestablishedthe-ory.Whereasweexpectmostofourreaderswillbeinterestedindevelopingpatternrecognitionsystems,perhapsafewwillbeactiveinunderstandingexisti

9、ngpatternrecognitionsystems,mostnotablyhumanandanimalnervoussystems.Toaddressthebiologicalrootsofpatternrecognitionwouldofcoursebebeyondthescopeofthisbook.Nevertheless,asneurobiologistsandpsychologistsinterestedinpatternrecognitioninthenaturalworldcontinueto

10、relyonmoreadvancedmathematicsandtheory,theytoomaypro¯tfromthematerialpresentedhere.Despitetheexistenceofanumberofexcellentbooksthatfocusonasmallsetofspeci¯ctechniques,wefeelthereisstillastrongne

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