Mapping the Internet generally consists in sampling the network from a limited set of sources by using traceroute-like probes. This methodology, akin to the merging of different s...
Luca Dall'Asta, J. Ignacio Alvarez-Hamelin, Alain ...
This work tackles the problem of answer-aggregation for continuous spatio-temporal range queries in distributed settings. We assume a grid-like coverage of the spatial universe of...
Goce Trajcevski, Hui Ding, Peter Scheuermann, Isab...
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
We consider the following maximum disjoint paths problem (mdpp). We are given a large network, and pairs of nodes that wish to communicate over paths through the network — the g...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...