Object detection in cluttered, natural scenes has a high
complexity since many local observations compete for object
hypotheses. Voting methods provide an efficient solution
to ...
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...
—One of the main advantages of clustering algorithms is the ability to allow networks to be physically divided into smaller regions, thereby increasing the theoretical maximum nu...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
Resource allocation is a fundamental but challenging problem due to the complexity of cluster computing systems. In enterprise service computing, resource allocation is often asso...
For large software systems, interface structure has an important impact on their maintainability and build performance. For example, for complex systems written in C, recompilatio...
Rahmat Adnan, Bas Graaf, Arie van Deursen, Joost Z...