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» Inferring Knowledge from a Large Semantic Network
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102
Voted
ICVS
2001
Springer
15 years 1 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
99
Voted
APSEC
2005
IEEE
15 years 3 months ago
Supporting Knowledge Collaboration Using Social Networks in a Large-Scale Online Community of Software Development Projects
The scale-free network shown in the small world phenomenon indicates that our human society consists of a small number of people who play the role of hubs linked with many nodes (...
Masao Ohira, Tetsuya Ohoka, Takeshi Kakimoto, Naok...
CVPR
2007
IEEE
15 years 11 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
COOPIS
2003
IEEE
15 years 2 months ago
Learning to Invoke Web Forms
Emerging Web standards promise a network of heterogeneous yet interoperable Web Services. Web Services would greatly simplify the development of many kinds of information agents a...
Nicholas Kushmerick
EON
2003
14 years 11 months ago
Racer: A Core Inference Engine for the Semantic Web
In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server offers two APIs that are already used by at le...
Volker Haarslev, Ralf Möller