18 search results - page 3 / 4 » Semi-supervised feature selection for graph classification |
BMCBI
2008
13 years 5 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
SIGMOD
2010
ACM
13 years 6 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
ICDE
2007
IEEE
14 years 7 months ago
2007
IEEE
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
ACL
2006
13 years 7 months ago
2006
We introduce the possibility of combining lexical association measures and present empirical results of several methods employed in automatic collocation extraction. First, we pre...