This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum,...
Peer-to-peer grids are large-scale, dynamic environments where autonomous sites share computing resources. Producing and maintaining relevant and up-to-date resource information i...
Nazareno Andrade, Elizeu Santos-Neto, Francisco Vi...
— Operators need routers to provide service guarantees such as guaranteed flow rates and fairness among flows, so as to support real-time traffic and traffic engineering. How...