We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
Filippo Geraci, Marco Pellegrini, Paolo Pisati, Fa...
Traditional client-server content distribution techniques usually suffer from scalability problems when dealing with large client population or sizable content. The advent of peer...
Abstract. Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of vi...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
This paper presents the results from a detailed, experimental study of OSPF, an intra-domain routing protocol, running on a mid-size regional Internet service provider. Using mult...