The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Secure communication in distributed systems is notoriously hard to achieve due to the variety of attacks an adversary can mount, based on message interception, modification, redi...
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Wireless sensor network (WSN) applications sense events in-situ and compute results in-network. Their software components should run on platforms with stringent constraints on nod...
Polygonal meshes obtained from acquisition of real-world objects may easily exhibit topological or geometrical defects, which often prevent subsequent processing and analysis to p...