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» Learning Classifiers from Semantically Heterogeneous Data
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ECCV
2008
Springer
15 years 5 days ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
SEMWEB
2005
Springer
14 years 3 months ago
Rapid Benchmarking for Semantic Web Knowledge Base Systems
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...
Sui-Yu Wang, Yuanbo Guo, Abir Qasem, Jeff Heflin
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 10 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
SIGMOD
2002
ACM
142views Database» more  SIGMOD 2002»
14 years 10 months ago
The Grid: An Application of the Semantic Web
The Grid is an emerging platform to support on-demand "virtual organisations" for coordinated resource sharing and problem solving on a global scale. The application thr...
Carole A. Goble, David De Roure
JAISE
2010
182views Algorithms» more  JAISE 2010»
13 years 5 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson