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Temporal Metaphors and Time Estimation Panos Athanasopoulos University of Reading pathanasopoulosreadingacuk Collaborators Emanuel Bylund Stockholm University Alina Schartner Newcastle University. =10 =20 =30 =50(a)(b) =10 =20 =30 =50 =10 =20 =30 =50 FIG.11.Spatio-temporalevolutionofcontoursoftheindexfunction,for(a)0.8,(b)10,and(c)30.Therestoftheparametersare,and1isstablewithoutdensitycontrasta Spatio. -Temporal Profitability Maps. Jason Powell, Yan Huang, . Favyen. . Bastani. and . Minhe. . Ji. Department of Computer Science and Engineering. University of North Texas. And. Department of Geography. in Heavily Cluttered Video. Andrea Colombari and Andrea Fusiello. , Member, IEEE. Outline. INTRODUCTION. METHOD. EXPERIMENTAL RESULTS. CONCLUSION. Outline. INTRODUCTION. METHOD. EXPERIMENTAL RESULTS. spatio-temporallocationsandscalesinvideobymaximizingspecicsaliencyfunctions.Thedetectorsusuallydifferinthetypeandthesparsityofselectedpoints.Featuredescriptorscaptureshapeandmotionintheneighborhoodso 1.StatisticalBureauofTibet2005.AnnualEconomicStatisticalDataofTibet.Lasa,TibetPress.(InChinese).2.Liu,J.,Zhan,J.andDeng,X.2005.Spatio-temporalpatternsanddrivingforcesofurbanlandexpansioninChinaduringt Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Ovidiu P. â. rvu. , PhD student. Department of . Computer Science. Supervisors: Professors . David Gilbert. and . Nigel Saunders. Why?. 2. Predicted. behaviour. Simulations. Natural. biosystem. Computational. By . Abhinandh. . Palicherla. Divya. . Akuthota. Samish Chandra . Kolli. Introduction. Address recognition of natural human actions in diverse and . realistic . video settings. .. Addresses the limitations . Generation of Mangrove Maps. Training Course on. ‘Marine GIS. for Operational Oceanography’. January 18-22, 2016. International Training Centre for operational Oceanography(ITCO). , . INCOIS, Hyderabad, India. Human Movements. B. . Bläsing. , W. Land, Th. . Schack. , . O. . Strogan. , D. Volchenkov . Pre-processing the VICON data for human movements.. Markers fixed on clothes are subjected to . movements of clothing, . Jie Bao, . Ruiyuan. Li, . Xiuwen. Yi, Yu Zheng. Urban Computing Group. Microsoft Research, China. Motivation. Bridge the gap between . massive. . trajectory data. and . urban computing applications. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Introduction to Spatial Computing. Navigation . Systems. Historical. Navigation is a core human activity for ages!. Trade-routes, Routes for Armed-Forces. Recent Consumer Platforms. Devices: Phone Apps, In-vehicle, “GPS”, …. Raghu Machiraju. Firdaus. . Janoos. , Fellow, Harvard Medical. Istavan. (. Pisti. ) . Morocz. , . Instuctor. , Harvard . Medical. Premise. Understanding the mind not only requires a comprehension of the workings of low–level neural networks but also demands a detailed map of the brain’s functional architecture and a description of the large–scale connections between populations of neurons and insights into how relations between these simpler networks give rise to higher–level thought.