PDF-Figure1:Left:Ourdeformable3Dcuboidmodel.RightViewpointangle.pactvisua

Author : yoshiko-marsland | Published Date : 2016-03-10

Detectorsperformance Layoutrescoring DPM13Ddetcombined DPM13Ddetcombined Hedauetal2 542513596 628 ours 556594605 600646638 Table1DetectionperformancemeasuredinAPat05

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Figure1:Left:Ourdeformable3Dcuboidmodel.RightViewpointangle.pactvisua: Transcript

Detectorsperformance Layoutrescoring DPM13Ddetcombined DPM13Ddetcombined Hedauetal2 542513596 628 ours 556594605 600646638 Table1DetectionperformancemeasuredinAPat05. Figure1:Samplecreasepatterns.Left:theclassiccrane.Right:patternofHull[13],whichcannotbefolded Figure1:Left:Blurredmotioncapturedbyastaticcamera.Center:Thesamescenecapturedbyacamerawithaspeciallydesignedmotionthatcausesboththestaticanddynamicregionstobluridentically.Right:Theblurfromthecenterim Figure1:Left:originalmesh(3 Figure1:OneeventlogL(right)andfourprocessmodelsM1,M2,M3,andM4(left).4 AligningEventLogandProcessModelConformancecheckingandperformanceanalysisrequireanalignmentofeventlogandprocessmodel,i.e.,eventsint 3.1BasicassumptionsFirst,wewillprovideanintuitivetreatmentoftherealizationoflocalizedrollpatternsfromsimplerbuildingblocks.Inthisspirit,ratherthanspecifyingaformforthePDEorODEgoverningoursystemofinter blocksconsistingoffrontsandbacks.Outliningthisconnectionshouldindicatethebroadapplicabilityoftheresultsin[3]withoutexpandingonthetechnicalaccountinthatpaper.Thelinkbetweenthesetwodierentapproacheswil Figure1:Thelinearrelationbetweenthevelocityellipsoidandcolorfrom[7](left)andtherelationbetweencolorandagefrom[22](right).Thebulgeanddiskwereseparatedusingradialsurfacebrightnessprolesontheintegrateds Figure1:Referencearchitectureofextendedchoreographedmashupplatforms(left)andscreenshotoftheproposedawarenessandcontrolmechanisms(right).*-implementationcanbesharedamongplatformswithdierentchoreograph Figure1.a)Catenationanddecatenationprocessesinmolecules(left)areobservedinthree-dimensionalMOFs(right),whichcanbetermedinterpenetrationanddeinterpenetration.b)MOF-123isconvertedintotheinterpenetrating Figure1:Comparisonofavolumerenderedimageusingthelocalemissionabsorptionmodel[Max95](left),andtheglobalhalfangleslicingtechnique[KPHE02](right).Apartfromtheilluminationmodel,allotherimageparametersaret [a] [b] \n\r \n \n\r\n \n\r \n\n \n\n \n Figure1:Left Figure1:Referencearchitectureofextendedchoreographedmashupplatforms(left)andscreenshotoftheproposedawarenessandcontrolmechanisms(right).*-implementationcanbesharedamongplatformswithdierentchoreograph 4AnIntroductiontoConditionalRandomFieldsforRelationalLearning Figure1.1ThenaiveBayesclassier,asadirectedmodel(left),andasafactorgraph(right).1.2.2ApplicationsofgraphicalmodelsInthissectionwediscussaf PSfragreplacementspqrkqpkkqrkkrpkFigure1.1:ThetriangleinequalityandanglesCauchy-Schwarzinequality.jpqjkpkkqk;p;q2Ed:Thescalarproductalsodenesangles,accordingtocos()=(qp)(rp)kqpkkrpk;seeFi

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