We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
In this paper, we propose a pairing-based signcryption scheme for authenticated broadcasting, which requires less computation than a previously proposed scheme suggesting identity...
We introduce a receiver-oriented approach to congestion control, demonstrated by an experimental protocol, TCP-Real. The protocol allows for a measurement-based transmission strate...
This paper discusses an extended adaptive supply network simulation model that explicitly captures growth (in terms of change in size over time, and birth and death) based on Utte...
This demonstration program presents the V*-kNN algorithm, an efficient algorithm to process moving k nearest neighbor queries (MkNN). The V*-kNN algorithm is based on a safe-region...
Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kul...