534 search results - page 18 / 107 » Effectively Visualizing Large Networks Through Sampling |
TVCG
2008
14 years 11 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
15 years 5 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...
103
click to vote
ICCV
2007
IEEE
16 years 1 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...
118
click to vote
CVPR
2008
IEEE
16 years 1 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
15 years 1 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...