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» Mapping low-level image features to semantic concepts
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CHI
2009
ACM
13 years 11 months ago
Hyperlinking reality via camera phones
Mobile vision services are a type of mobile ITS applications that emerge with increased miniaturization of sensor and computing devices, such as in camera equipped mobile phones, ...
Dusan Omercevic, Ales Leonardis
AI
2008
Springer
13 years 7 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Assessment of disease named entity recognition on a corpus of annotated sentences
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Antonio Jimeno-Yepes, Ernesto Jiménez-Ruiz,...
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
14 years 2 months ago
Most salient region tracking
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
Simone Frintrop, Markus Kessel
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 27 days ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...