Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
We present formal proof rules for inductive reasoning about the way that data transmitted on the network remains secret from a malicious attacker. Extending a compositional protoco...
Arnab Roy, Anupam Datta, Ante Derek, John C. Mitch...
In this paper, we propose a new sensitivity based, statistical gate sizing method. Since circuit optimization effects the entire shape of the circuit delay distribution, it is dif...
Aseem Agarwal, Kaviraj Chopra, David Blaauw, Vladi...
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...