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1、GeneralizedCorrelationAnalysisforHigh-dimensionalMulti-viewDataSongcanSongcanChenChenJointworkwithXiaohongChen,JingjingGuandXudongZhouNanjingUniversityofAeronauticsandAstronauticsMulti-viewscenarioObject.View0PeopleView1View2View3More…Imageretrieval[HS2003][HSS2004]Imagesretriev
2、edforthetextquery:“atphoenixskyharboronJuly6,1997.757-2s7,n907waphoenixsunstaxispastn902awteamworkAmericawestAmericawest757-2s7,n907waphoenixsunstaxispastn901awArizonaatphoenixskyharboronJuly6,1997.”Theactualmatchisthemiddlepictureinthefirstrow.oneobjecthas2views(text&image)Imag
3、eprocessingProcessedresultOriginalMosaiced2ColorColor??ColorViews!Thedemosaicingproblemdealswiththereconstructionofafullcolorimageffromitspartialsamplingm.[Yac2004]ComputervisionDetectingpixelscorrelatedtosoundbyCCAonaudio&video[ESE2005](CVPR05),[TTS2007](NIPS07)(Audio??Video)Se
4、nsorLocalization(Sensorsignal??location)Estimatephysicalcoordinatesofanysensorsbyusingtheirsignalstrengths[PKYC2006]PoseestimationInthiscase,CCAismoresuitableforcleardescriptionofmanifoldthanPCA,andresultshowsthatCCAoutperformsPCAinestimationaccuracy.[SC2007](Image??Pose)Imagecl
5、assification[MJC2010]M.Guillaumin,J.VerbeekandC.Schmid,Multimodalsemi-supervisedlearningforimageclassification,CVPR2010.MetriclearningIllustrationofmulti-viewmetriclearningproblem[ZCS2011]:(a)Posealignmentoftwoobservationsetsinthesamedim.space;(b)Low-highresolutionfacematchingin
6、twodifferentdim.spaces.FaceRecognitionThebasicoverviewoftheproposedmethod.WxandWyarelearntprojectionmatricesusingPLSonXandY.[SJ2011](CVPR11)ImageFeatureIntegrationThevisualpatternsdescriptionsLBP,GIST,CENTRIST,DoG-SIFTandHOGofthreesamplesImagesfromCaltech101data.[CNHK2011](CVPR2
7、011)Cross-viewActionRecognitionExemplarframesfromIXMASmulti-viewdataset.Eachrowshowsoneactionviewedfromdifferentangles.[LSKS2011](CVPR2011)OtherMulti-viewScenariosMulti-lingualTranslation:[LS2006,AUG2009,KAG2010]Multi-labelLearning[ZS2011]……Motivation?Howtoeffectivelyanalyzesuch
8、multiHowtoeffectivelyanalyzesuchmulti--viewview
