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196
Voted
KDD
2004
ACM
16 years 7 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
169
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WSDM
2010
ACM
16 years 4 months ago
2010
ACM
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
194
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ICB
2009
Springer
15 years 4 months ago
2009
Springer
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
169
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MM
2003
ACM
15 years 12 months ago
2003
ACM
Although statistical characteristics of audio features are widely used for similarity measure in most of current audio analysis systems and have been proved to be effective, they ...
223
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SIGIR
2012
ACM
13 years 9 months ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...