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TKDE
2010
224views more  TKDE 2010»
15 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ICS
2010
Tsinghua U.
15 years 9 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
CW
2005
IEEE
16 years 21 days ago
ComRank: Metasearch and Automatic Ranking of XML Retrieval System
Different information retrieval (IR) systems often return very diverse results lists for the same query. This is problematic for users since no one IR system works best for every ...
Alan Woodley, Shlomo Geva
CLEF
2005
Springer
16 years 18 days ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
CIKM
2009
Springer
15 years 11 months ago
Data extraction from the web using wild card queries
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
Davood Rafiei, Haobin Li