Hiroshi FujiwaraWesometimeshavetomakeadecisionimmediately,withnoinformationaboutthefuture.Forexample,“whichisthebetter,torentortobuyaskigear?"Or,“howtopackloadsthatarearrivingoneafteranotherintotrucks?"Ifyouknewaboutthefuture,youcouldmakeagoodchoiceexploitingthatinformation.But,itisoftenthecasethat"nooneknowswhatmayhappentomorrow."Inourlaboratory,werevealthenatureunderlyingsuchsituationsandstudystrategiesandalgorithmsthatrunwithoutfutureinformation.Ouraimistodesignstrategiesandalgorithmsthatoutputthe"bestpossiblechoice"foreachmomentunderthesettingthatonecanhavehopelesslylittleinformationaboutthefuturelike"nooneknowswhatmayhappentomorrow."Furthermore,weclarifythenatureoftheinherentvalueofinformation,bytheoreticallycomparingthecaseswithorwithoutfutureinformation.AssociateProfessorPh.D. from Kyoto Univ. During his career, he visited Univ. Freiburg and UESTC, China. His research interests include algorithms and optimization.The "ski-rental problem" is equivalent to the choice of a strategy of automatically turning off the backlight on a mobile phone.ManagingtheUncertaintyoftheFutureThe "bin-packing problem" has application in several areas such as logistics or distributed systems.Inourlaboratorythestudentsacquireandpolishuptheircomprehensiveskilltosolveproblems.Specifically,theskillconsistsof(1)tograspthenatureunderlyingtheproblemprecisely,and(2)toconsiderwhattoolsorapproachesleadustoasolution.After GraduationIn the FutureElectrical& Computer EngineeringElectrical& Computer EngineeringIn the FutureAfter GraduationMinoru MaruyamaMultimodalsiamesenetworkarchitecturewhichembedsimage-basedandtext-basedfeaturesintoaunifiedvectorspaceAnexampleofimagesearchbasedonmultimodalanalogy.InMaruyamaLab.,ourresearchfocusesonmachinelearningtechniquesforvisualinformationunderstanding&processing.We,human,caneasilyrecognizeandunderstandthecontentsincludedintheimage.Thisabilityisimprovedthroughlearningfromoureverydayexperience.Ourresearchgoalistoprovidingsuchsignificantabilitytocomputer.Forthatpurposewemainlyinvestigatingdeeplearningtechniquesforimageunderstanding,contentbasedimagesearch,patternrecognition,3Drecoveryfromimages,andcomputergraphics.Weareinvestigatingmachinelearningtechniquesforvisualinformationunderstanding.Especiallywearestudyingdeeplearningtechniquesforacquiringappropriatelatentrepresentations.Ourresearchinterestalsoincludecomputergraphicssuchasphoto-realisticrenderingalgorithms.Thesetechniquescanbeusedforvariouskindsofapplicationsincludingcontentbasedimagequeryontheweb,human-computerinteraction.Overhalfofthegraduatesgotograduateschool(masterprogramofShinshuUniversity).Graduatesofourlabareemployedbyelectronicscompanies,ITcompanies,includingvideogamecompaniesetc.Manygraduatesareworkingassoftware/ITengineers.ProfessorSince 1996, he is with ShinshuUniv. Before joining Shinshu Univ., he was with Mitsubishi Electric Corp. 1990-1991, he was a visiting scientist of Artif. Intell. Lab., MIT Learning Latent Representation for VisualInformation Understanding
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