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Our research member Jiaoyan Chen attended the HPI Future SOC Lab Day – Spring 2017 in Potsdam, in April 25, 2017. The HPI Future SOC (Service-Oriented Computing) Lab Day is a cooperation of the Hasso Plattner Institute (HPI) and the industrial partners Dell EMC, Fujitsu, SAP and Hewlett Packard Enterprise (HPE). Its mission is to enable and promote exchange and [...]

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DeepVGI at WWW2017 Perth

Our group member Jiaoyan Chen attended the 26th World Wide Web Conference from 3 April to 7 April in Perth, Australia. The topic of the conference includes web-related machine learning, social network, knowledge base, crowdsourcing, urban data mining, etc. He gave a 30-minues presentation in the co-conference Big 2017 as well as a poster [...]

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GIScience at FOSSGIS conference

Last week, the German FOSSGIS conference about Free and Open Source GIS software was held in Passau. GIScience was also there with a small delegation, presenting some of our current research topics, from routing, to data analysis and machine learning. The talks (in German language) are already available on youtube, for example:

Routenplanung durch Flächen (by [...]

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Last week saw the Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at the 15th IEEE International Conference on Pervasive Computing and Communications. Here you find some impressions from the event. Alexander Zipf participated as invited panelist at the panel session of CASPer 2017. The panel discusses processing unstructured Big Data and [...]

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in case you are this week not at CeBIT in the north of Germany, but rather at FOSSGIS in the south, you have the chance meet us also there and listen to several presentations on OSM work at HeiGIT and GIScience HD by our team member Martin Raifer.
The main talk will be on OSM-History-Analysis based [...]

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Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]

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Together with Heidelberg Mobil International (HDMI) our new Heidelberg Institute for Geoinformation Technology (HeiGIT) will be represented at the CeBIT in Hannover within the Smart City Forum this month from the 20-24th of March.
In this context we will be focusing on transportation and navigation as an example which must meet a wide range of [...]

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This week Prof. Alexander Zipf presented some recent work of the GIScience Research Group Heidelberg and HeiGIT at the “Münchner GI-Runde” of the “Runde Tisch GIS e.V. Munich”. The overall topic of the presentation was spatio-temporal analysis from user generated geodata such as VGI or AGI (Social Media).
Examples included work on OSM quality analytics such [...]

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Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially [...]

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