779 search results - page 134 / 156 » Ranking distributed probabilistic data |
107
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SIGMOD
2010
ACM
15 years 6 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
152
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CORR
2012
Springer
13 years 9 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
121
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ICCV
2005
IEEE
16 years 3 months ago
2005
IEEE
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
125
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ICIP
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
129
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...