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» Completeness of a Fact Extractor
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HRI
2006
ACM
15 years 5 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
15 years 4 months ago
Active knowledge: dynamically enriching RDF knowledge bases by web services
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to re...
Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchane...
ECCV
2004
Springer
16 years 1 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
16 years 1 hour ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
BTW
2007
Springer
136views Database» more  BTW 2007»
15 years 6 months ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann