We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu,...
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
Maria Klodt, Thomas Schoenemann, Kalin Kolev, Mare...