94 search results - page 7 / 19 » Spatial embedding and the structure of complex networks |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
GEOINFO
2003
13 years 9 months ago
2003
One of the main challenges for the development of spatial information theory is the formalization of the concepts of space and spatial relations. Currently, most spatial data struc...
PCI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Graphs are useful data structures capable of efficiently representing a variety of technological and social networks. They are therefore utilized in simulation-based stud...
ISI
2006
Springer
13 years 7 months ago
2006
Springer
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...