Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Autonomics or self-reorganization becomes pertinent for websites serving a large number of users with highly varying workloads. An important component of self-adaptation is to mod...
We consider the problem of approximately counting integral flows in a network. We show that there is an fpras based on volume estimation if all capacities are sufficiently large, ...
—This paper investigates the network performance loss of using only single-path routing when multiple paths are available. The performance metric is the aggregate utility achieve...
Because of its excellent bit-error-rate performance, the Low-Density Parity-Check (LDPC) decoding algorithm is gaining increased attention in communication standards and literatur...