PPT-Spatio -temporal Exploration of

Paleo Fire C limate P atterns U sing the Superposed Epoch Analysis SEA Capstone Project Proposal PSU MGIS Author Wendy Gross Advisor Dr Alan Taylor . 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. 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. 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, . 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.. 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.