Abstract--Virtualization technology facilitates a dynamic, demanddriven allocation and migration of servers. This paper studies how the flexibility offered by network virtualizatio...
Dushyant Arora, Anja Feldmann, Gregor Schaffrath, ...
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Owing to their high accuracy and ease of formulation, there has been great interest in applying convex optimization techniques, particularly that of semidefinite programming (SDP)...
Abstract--The goal of this paper is to increase our understanding of the fundamental performance limits of mobile and Delay Tolerant Networks (DTNs), where end-to-end multi-hop pat...
Philippe Jacquet, Bernard Mans, Georgios Rodolakis
Spatial Pyramid Representation (SPR) is a widely used method for embedding both global and local spatial information into a feature, and it shows good performance in terms of gene...