Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
The topic of this communication is shape-similarity search for 3D-mesh models. We present and evaluate a composite 3D-shape feature vector (DESIRE), which is formed using depth bu...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
The rapidly growing web technologies and electronic commerce applications have stimulated the need of personalized and group decision support functionalities in eTourism intermedia...