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166
Voted
DCC
2006
IEEE
16 years 6 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
196
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PDCAT
2007
Springer
16 years 24 days ago
2007
Springer
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
179
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IMC
2010
ACM
15 years 4 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
153
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ALT
2009
Springer
15 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
207
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ICHIM
2001
15 years 8 months ago
2001
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...