779 search results - page 134 / 156 » Ranking distributed probabilistic data |
SIGMOD
2010
ACM
14 years 2 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...
CORR
2012
Springer
12 years 5 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...
ICCV
2005
IEEE
14 years 11 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...
ICIP
2008
IEEE
14 years 11 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...
ICML
2000
IEEE
14 years 10 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...