PPT-Spatial and Spatio-temporal

Data Uncertainty Modeling and Querying Mohamed F Mokbel Department of Computer Science and Engineering University of Minnesota wwwcsumnedumokbel mokbelcsumnedu 2 Talk Outline Introduction to Uncertain Data. 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. Tempora. l. . and Spatial Constraints on Text Similarity. James Pustejovsky. Brandeis . University. March . 13, . 2012. Measuring Similarity. Objects. Events. Object similarity is a function of:. Sortal. Jamie M. Kneitel. Department of Biological Sciences. CSU Sacramento. Peters (2011). Spatial and temporal heterogeneity. Important in all ecosystems. Climate variation. Increasing focus on effects in natural ecosystems. Prahlad Jat. (1). and Marc Serre. (1). (1) University of North Carolina at Chapel Hill. Agenda. Introduction. Mean Trend Analysis. Space/Time Covariance Analysis. Introduction. Temporal GIS analysis process. using a floor sensor system. By: Omar Costilla- Reyes (Ph.D. student). Email: . omar.costillareyes@manchester.ac.uk. Sensing, Imaging and Signal Processing Group. School of Electrical and Electronics Engineering. trend of mother to child HIV transmission in . western . Kenya, . 2007-2013. Anthony Waruru. , Thomas Achia, . Hellen . Muttai, . Lucy . Ng’ang’a, . Abraham . Katana, . Peter . Young, . Jim . Tobias, Peter Juma, . 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.. 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. Steven E. Lohrenz. University of Southern Mississippi. Gary Kirkpatrick. Mote Marine Laboratory. Oscar Schofield. Rutgers University. Overview. Introduction. Application of satellite ocean color to HAB detection. Kim A. cheek and . caroline. George. College of education and human services. University of north . florida. Defining Scale*. Spatial, temporal, or numeric . magnitude . of an object or event; measurable in standard or nonstandard units:. 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.