627 search results - page 42 / 126 » Privacy-Preserving k-NN for Small and Large Data Sets |
102
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ICML
2009
IEEE
16 years 3 days ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ER
2007
Springer
15 years 5 months ago
2007
Springer
Integration of large databases by expert teams is only a small part of the data integration activities that take place. Users without data integration expertise very often gather,...
173
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ICDE
2001
IEEE
16 years 20 days ago
2001
IEEE
We describe efficient algorithms for accurately estimating the number of matches of a small node-labeled tree, i.e., a twig, in a large node-labeled tree, using a summary data str...
IDEAS
1999
IEEE
15 years 3 months ago
1999
IEEE
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
97
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KDD
2001
ACM
15 years 11 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...