511 search results - page 23 / 103 » The intrinsic dimensionality of graphs |
SDM
2012
SIAM
12 years 7 days ago
2012
SIAM
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graph...
AMW
2011
13 years 1 months ago
2011
Abstract. Social Network (SN) data has become ubiquitous, demanding advanced and flexible means to represent, transform and query such data. In addition to the intrinsic challenge...
SODA
2008
ACM
13 years 11 months ago
2008
ACM
Gibbs sampling also known as Glauber dynamics is a popular technique for sampling high dimensional distributions defined on graphs. Of special interest is the behavior of Gibbs sa...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge...