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139
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
96
Voted
CIKM
2011
Springer
14 years 17 days ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
CSB
2003
IEEE
15 years 6 months ago
2003
IEEE
The complexity of the global organization and internal structures of motifs in higher eukaryotic organisms raises significant challenges for motif detection techniques. To achiev...
134
Voted
FCSC
2010
14 years 10 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
129
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...