Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Imagine a set of self-interested clients, each of whom must choose a server from a permissible set. A server’s latency is inversely proportional to its speed, but it grows linear...
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Abstract. We describe a general component software framework designed for demanding grid environments that provides optimal performance for the assembled component application. Thi...
Nathalie Furmento, Anthony Mayer, Stephen McGough,...
— Hardware implementations of cryptographic algorithms are vulnerable to fault analysis attacks. Methods based on traditional fault-tolerant architectures are not suited for prot...
Konrad J. Kulikowski, Mark G. Karpovsky, Alexander...