PPT-Spatio-temporal Analysis of

Human Movements B Bläsing W Land Th Schack O Strogan D Volchenkov Preprocessing the VICON data for human movements Markers fixed on clothes are subjected to movements of clothing . 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. 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. and in the air. Comparing Perches and Perspectives. #SSLBC2012. What’s Up?. 2. Why am I here?. Everyone else was busy. Excuse to visit campus. Wouldn’t have finished my thesis if it weren’t for Ellen. 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. . . . . The Data Analysis and Intelligent Systems . (DAIS) Lab  . aims . at the development of data analysis, data mining, GIS and artificial intelligence . techniques to solve critical problems of our society.. 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. 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”, …. 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.