29 search results - page 4 / 6 » Wavelet Belief Propagation for Large Scale Inference Problem... |
CORR
2012
Springer
12 years 4 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...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
JMLR
2008
13 years 8 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Information diffusion and virus propagation are fundamental processes talking place in networks. While it is often possible to directly observe when nodes become infected, observi...