PPT-Trends: Spatio -temporal graphs

Introduction to Spatial Computing Navigation Systems Historical Navigation is a core human activity for ages Traderoutes Routes for ArmedForces Recent Consumer Platforms Devices Phone Apps Invehicle GPS . DuuvFuDuuvFkv 282Y. N and are concentrations of the chemical materials and and the diffusion coefficients, the in-flow rate of from outside, + the removal rate from reaction field. No Spatio-Temporal Uncertain (Social) Networks. . Chanhyun Kang. Computer Science Dept.. University of Maryland, USA. chanhyun@cs.umd.edu. Andrea Pugliese. DEIS Dept.. University of Calabria, Italy. apugliese@deis.unical.it. 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. Holly S. Mason MD FACS. Jane Garb MS. Early Onset Breast Cancer. Breast CA is leading cause of cancer in women. Second cause of cancer-related deaths. Leading cause of death in women under 40. Stage at presentation is more advanced. 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, . The type of graph you draw depends on the types of observations you make. Bar Graph. Line Graph. Pie Graph. Bar and Column Graphs. Bar and column graphs. Some observations fall into . discrete. groupings. Problem. Segmenting moving . f. oreground in a video. Related work & intuitions. Dynamic background ~ dynamic textures . Image sequences of certain textures moving and changing under certain properties.. . Paleo. Fire . C. limate . P. atterns . U. sing the. . Superposed Epoch Analysis (. S.E.A.). Capstone Project Proposal, PSU MGIS . Author. : Wendy Gross, Advisor: Dr. Alan Taylor. . . . . 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. -Temporal Data in. Massive Multiplayer Online Games. Matthias Schubert. joined. . work. . with. Hans-Peter Kriegel . and. Andreas . Züfle. Lehrstuhl für Datenbanksysteme. Institut für Informatik. Erekle Shishniashvili. Seminar - Graph Deep Learning In Medical Imaging. Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling . Spatio. -temporal Patterns of Holistic Brain Functional Networks. 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.