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» Automatically generating stories from sensor data
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FIS
2008
15 years 4 months ago
Challenges and Opportunities for More Meaningful and Sustainable Internet Systems
Abstract. Despite its technological success story, the Internet is facing a rampant growth of isolated ontologies and a massive dump of unstructured legacy data. Therefore, archite...
Pieter De Leenheer, Stijn Christiaens
124
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BMVC
2010
15 years 18 days ago
Automatic annotation of unique locations from video and text
Given a video and associated text, we propose an automatic annotation scheme in which we employ a latent topic model to generate topic distributions from weighted text and then mo...
Chris Engels, Koen Deschacht, Jan Hendrik Becker, ...
ICIP
2004
IEEE
16 years 4 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy
120
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AIED
2009
Springer
15 years 9 months ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
ADBIS
2003
Springer
194views Database» more  ADBIS 2003»
15 years 7 months ago
Rule-Based Generation of XML DTDs from UML Class Diagrams
We present an approach of how to extract automatically an XML document structure from a conceptual data model that describes the content of a document. We use UML class diagrams as...
Thomas Kudrass, Tobias Krumbein