In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
Considerable research has focused on the problem of scheduling dynamically arriving independent parallel jobs on a given set of resources. There has also been some recent work in ...
Mohammad Islam, Pavan Balaji, P. Sadayappan, Dhaba...