Peer-to-peer systems offer an efficient means for sharing data among autonomous nodes. A central issue is locating the nodes with data matching a user query. A decentralized solut...
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) ...
In this paper we present a new compression scheme for signature tree structures. Beyond the reduction of storage space, compression attains significant savings in terms of query pr...
Maria Kontaki, Yannis Manolopoulos, Alexandros Nan...