Statistical Machine Learning for Data Mining and Collaborative Multimedia Retrieval

Statistical Machine Learning for Data Mining and Collaborative Multimedia Retrieval

ID：39505460

大?。?.06 MB

頁數(shù)：243頁

時間：2019-07-04

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1、StatisticalMachineLearningforDataMiningandCollaborativeMultimediaRetrievalHOI,ChuHong(Steven)AThesisSubmittedinPartialFul?lmentoftheRequirementsfortheDegreeofDoctorofPhilosophyinComputerScienceandEngineeringcTheChineseUniversityofHongKongSeptember2006TheChines

2、eUniversityofHongKongholdsthecopyrightofthisthesis.Anyperson(s)intendingtouseapartorwholeofthematerialsinthethesisinaproposedpublicationmustseekcopyrightreleasefromtheDeanoftheGraduateSchool.Thesis/AssessmentCommitteeMembersProfessorTien-TsinWong(Chair)Professo

3、rMichaelR.Lyu(ThesisSupervisor)ProfessorLeoJiayaJia(CommitteeMember)ProfessorEdwardY.Chang(ExternalExaminer)Abstractofthesisentitled:StatisticalMachineLearningforDataMiningandCollaborativeMul-timediaRetrievalSubmittedbyHOI,ChuHong(Steven)forthedegreeofDoctorofP

4、hilosophyatTheChineseUniversityofHongKonginSeptember2006Statisticalmachinelearningtechniqueshavebeenwidelyappliedindataminingandmultimediainformationretrieval.Whiletradi-tionalmethods,suchassupervisedlearning,unsupervisedlearning,andactivelearning,havebeenexten

5、sivelystudiedseparately,therearefewcomprehensiveschemestoinvestigatethesetechniquesinauni?edapproach.Thisthesisproposesauni?edlearningparadigm(ULP)frameworkthatintegratesseveralmachinelearningtechniquesincludingsupervisedlearning,unsupervisedlearning,semi-super

6、visedlearning,activelearningandmetriclearninginasynergisticwaytomaximizethee?ectivenessofalearningtask.Basedonthisuni?edlearningframework,anovelschemeissug-gestedforlearningUni?edKernelMachines(UKM).TheUKMschemecombinessupervisedkernelmachinelearning,unsupervis

7、edkernelde-sign,semi-supervisedkernellearning,andactivelearninginane?ec-tivefashion.AkeycomponentintheUKMschemeistolearnkernelsfrombothlabeledandunlabeleddata.Tothispurpose,anewSpectralKernelLearning(SKL)algorithmisproposed,whichisrelatedtoaquadraticprogram.Emp

8、iricalresultsshowthattheUKMtechniqueispromisingforclassi?cationtasks.iWithintheuni?edlearningframework,thisthesisfurtherexplorestwoimportantchallengingtasks.OneisBatchModeAc

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