In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
We propose a distributed algorithm to construct a balanced communication tree that serves in gathering data from the network nodes to a sink. Our algorithm constructs a near-optim...
In many scenarios, particularly in military and emergency response operations, mobile nodes that are in close proximity to each other exhibit a high degree of data affinity. For ex...
Fernando J. Maymi, Manuel Rodriguez-Martinez, Wolf...
When many flows are multiplexed on a non-saturated link, their volume changes over short timescales tend to cancel each other out, making the average change across flows close to ...
Fernando Silveira, Christophe Diot, Nina Taft, Ram...