PDF-Figure2:ComputingtheFragmentandimage-sentencesimilarities.Left:CNNrepr

Author : debby-jeon | Published Date : 2016-06-07

Figure3Thetwoobjectivesforabatchof2examplesLeftRowsrepresentfragmentsvicolumnssjEverysquareshowsanidealscenarioofyijsignvTisjintheMILobjectiveRedboxesareyij1Yellowindicatesmembersofposi

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Figure2:ComputingtheFragmentandimage-sentencesimilarities.Left:CNNrepr: Transcript

Figure3Thetwoobjectivesforabatchof2examplesLeftRowsrepresentfragmentsvicolumnssjEverysquareshowsanidealscenarioofyijsignvTisjintheMILobjectiveRedboxesareyij1Yellowindicatesmembersofposi. Figure3:Thetwoobjectivesforabatchof2examples.Left:Rowsrep-resentfragmentsvi,columnssj.Ev-erysquareshowsanidealscenarioofyij=sign(vTisj)intheMILob-jective.Redboxesareyij=1.Yellowindicatesmembersofposi Figure2:Internalconnections(left)allowthedesignertorealizeshapeswithsharpcreasesandconcavefeatures(middle)thatwouldbepoorlyapproximatedwithoutinternalstructures(right).wouldotherwisebepushedapartbythe Figure2:Left:theinitialstate.Right:thecrusthassubsidedundertheweightofthe1kmsedimentarylayer.Wewanttoknowtheamountofsubsidenceh.Again,wesetuptheproblembyequatingthelithostaticstressatsomechosendeptho 4Chap.2KaleidoscopicTilings Figure2.1Agenus2surface-spherewithtwohandles Figure2.2Icosahedraltiling-topview 2.1Tilingsonsurfaces5 Figure2.32-4-4tilingonatorus Figure2.43-3-3tilingonatorusRemark2.1Tili Figure3:NUMA-awareprocessingofthebuild-phasemorsels;thiswaythesucceedingpipelinesstartwithnewhomoge-neouslysizedmorselsinsteadofretainingmorselboundariesacrosspipelineswhichcouldeasilyresultinskewedmo Figure2.Schematicrepresentationofwhyinextensibilitycon-straintsareill-suited.Left:Twopointsofthediscreterepresenta-tionofacontinuoussurfaceinitsrestconguration.Right:Whendeformed,whilethegeodesicdist Figure3:BuildingthecontrollatticefortheARAPimagedeforma-tion:distanceeldcomputedfromrasterizedstrokes(left),ARAPregistrationusingthecontrollatticebasedonthedistanceeld(right).3.3.2FrameDeformationan 1PreliminaryExaminationQuestion#1:DatingandTech-nologicallyMedicatedCommunication,LieselL.Sharabi Figure2:Thepublicfacingprolesforthemaleandfemaleaccounts.isamajorfactorinthenumberofresponsesauserwil Figure2:Comparisonofdifferentsimulationsettingsonthesamecharacter.Left)Ourmethod,5iterations,Middle)PBDwith5iterations,Right)PBDwith15iterations.NotehowPBDgeneratesstretchyclothwithlowiterationcountsa Figure2.ThecomponentsofaSiftablecomputingelementarepresentationofawiderangeofdigitaldata,andtheycanbephysicallymanipulatedasagroupasatangibleinterfacetothedata.Theyareagenericinteractionplatformthatco Figure2.Left:speckleformationfromaroughstaticsurfacehashighcontrast.Right:Speckleformationfromaroughdynamicsurfaceproduceslowcontrastimages.Regeetal.suggestanisotropicnumericalprocessingforin-creasedS Figure3:BuildingthecontrollatticefortheARAPimagedeforma-tion:distanceeldcomputedfromrasterizedstrokes(left),ARAPregistrationusingthecontrollatticebasedonthedistanceeld(right).3.3.2FrameDeformationan 4TheinterestedreadercanndashortvideodemonstratingthehallucinationmethodfortheDARPAShredderChallengeathttp://tinyurl.com/hallucinatevideo5Asdescribed,ourmethodassignsasinglescoretoeachpiecebasedontheb (a) (b) (c)Figure2.Screenshotsoftheembeddedhints.Figure2(a)showsanuncollectedmessageinabottleontheRefractiongrid.Figure2(b)showsanabstracthintbeingdisplayed.Figure2(c)showsanconcretehintbeingdisplayed

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