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Quantitative Information Visualization: dealing with uncertainty

模式识别学术大讲堂
Advanced Lecture Series in Pattern Recognition
题    目 (TITLE):Quantitative Information Visualization: dealing with uncertainty
讲 座 人 (SPEAKER):Prof. Oliver Deussen (University of Konstanz, Germany)
主 持 人 (CHAIR): Prof. Xiaopeng Zhang
时    间 (TIME):Apri 14 (Friday), 2017, 15:30 PM
地    点 (VENUE):No.3 Conference Room (3rd floor), Intelligence Building
报告摘要(ABSTRACT):
In data visualization large amounts of data are converted into images in order to use the human eye to find interesting patterns that can later be analyzed by data mining techniques. Often, however, data is not fixed, but given with uncertainty.  In my talk I will review techniques for uncertainty visualization and will speak about the challenge of establishing a kulture of quantitative methods for visual computing.
报告人简介(BIOGRAPHY):
Prof. Deussen graduated at Karlsruhe Institute of Technology and is professor at University of Konstanz (Germany) and visiting professor at SIAT (Chinese Academy of Science) Shenzhen. In 2014 he was awarded within the 1000 talents plan. 2012-2015 he served as Co-Editor in Chief of Computer Graphics Forum, currently he is Vice-President of Eurographics Association. Besides information visualization, his interests are modeling and rendering of complex biological systems as well as non-photorealistic rendering. He also contributed papers to geometry processing, sampling methods, and image-based modelling.

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中科院自动化研究所 模式识别国家重点实验室
NLPR, INSTITUTE OF AUTOMATION, CHNESE ACADEMY OF SCIENCES