534 search results - page 18 / 107 » Effectively Visualizing Large Networks Through Sampling |
TVCG
2008
13 years 9 months ago
2008
This paper proposes novel methods for visualizing specifically the large power-law graphs that arise in sociology and the sciences. In such cases a large portion of edges can be sh...
PDCAT
2005
Springer
14 years 2 months ago
2005
Springer
Large-Scale network such as the Internet consist of a large number of sub-networks. Since each subnetwork has management privileges and policies individually, it is difficult to r...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
APVIS
2010
13 years 10 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...