Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
The number of stored objects that should be targets of high throughput retrieval, such as multimedia stream objects, is increasing recently. To implement a high throughput storage...
Makoto Kataigi, Dai Kobayashi, Tomohiro Yoshihara,...
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...