69 search results - page 9 / 14 » Graph Based Semi-supervised Learning with Sharper Edges |
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
FLAIRS
2006
13 years 9 months ago
2006
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
IEEECIT
2009
IEEE
14 years 2 months ago
2009
IEEE
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...