1403 search results - page 172 / 281 » Set cover algorithms for very large datasets |
156
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MICCAI
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
171
Voted
CDES
2008
15 years 7 months ago
2008
R-tree data structures are widely used in spatial databases to store, manage and manipulate spatial information. As the data volume of such databases is typically very large, the q...
160
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PKDD
2001
Springer
15 years 10 months ago
2001
Springer
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
160
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DAGSTUHL
2008
15 years 7 months ago
2008
Existing selfverifying solvers for dense linear (interval-)systems in C-XSC provide high accuracy, but are rather slow. A new set of solvers is presented, which are a lot faster th...
179
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PAMI
2010
15 years 4 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...