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181
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AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
171
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JMLR
2010
15 years 1 months ago
2010
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
183
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
179
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CVPR
2006
IEEE
16 years 19 days ago
2006
IEEE
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
160
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PAM
2005
Springer
16 years 2 days ago
2005
Springer
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...