327 search results - page 25 / 66 » A Spectral Approach to Learning Structural Variations in Gra... |
PR
2007
13 years 7 months ago
2007
In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a patte...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
IPMI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
ICDM
2003
IEEE
14 years 24 days ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...