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» Combining Semantics and Statistics for Patent Classification
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CLEF
2010
Springer
13 years 5 months ago
Combining Semantics and Statistics for Patent Classification
For the patent classification task of the 2010 CLEF-IP evaluation we have used three different approaches combining semantics and statistics-driven techniques: first approach is b...
Franck Derieux, Mihaela Bobeica, Delphine Pois, Je...
IJCAI
2001
13 years 6 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...
SADM
2008
106views more  SADM 2008»
13 years 4 months ago
Harmonium Models for Video Classification
: Accurate and efficient video classification demands the fusion of multimodal information and the use of intermediate representations. Combining the two ideas into one framework, ...
Jun Yang 0003, Rong Yan, Yan Liu, Eric P. Xing
ECCV
2006
Springer
14 years 6 months ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
ESWS
2007
Springer
13 years 11 months ago
Integrating Folksonomies with the Semantic Web
While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individu...
Lucia Specia, Enrico Motta