41 search results - page 1 / 9 » Inferring the Maximum Likelihood Hierarchy in Social Network... |
CSE
2009
IEEE
13 years 11 months ago
2009
IEEE
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
ALT
2010
Springer
13 years 6 months ago
2010
Springer
We consider the problem of inferring the most likely social network given connectivity constraints imposed by observations of outbreaks within the network. Given a set of vertices ...
AAAI
2006
13 years 6 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...