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» Learning Semantic Descriptions of Web Information Sources
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MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 10 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
AI
2009
Springer
15 years 11 months ago
Opinion Learning without Emotional Words
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
Marina Sokolova, Guy Lapalme
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 2 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
ICANN
2011
Springer
14 years 8 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
CIKM
2011
Springer
14 years 5 months ago
Coreference aware web object retrieval
As user demands become increasingly sophisticated, search engines today are competing in more than just returning document results from the Web. One area of competition is providi...
Jeffrey Dalton, Roi Blanco, Peter Mika