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SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 4 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
HIKM
2006
ACM
15 years 9 months ago
Automatic document indexing in large medical collections
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
Angelos Hliaoutakis, Kalliopi Zervanou, Euripides ...
VISUALIZATION
2003
IEEE
15 years 9 months ago
Producing High Quality Visualizations of Large-Scale Simulations
This paper describes the work of a team of researchers in computer graphics, geometric computing, and civil engineering to produce a visualization of the September 2001 attack on ...
Voicu Popescu, Chris Hoffmann, Sami Kilic, Mete So...
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
15 years 7 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
CORR
2006
Springer
178views Education» more  CORR 2006»
15 years 3 months ago
A tool set for the quick and efficient exploration of large document collections
: We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the do...
Camelia Ignat, Bruno Pouliquen, Ralf Steinberger, ...