As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
In this paper, we study parallel I/O efficient graph algorithms in the Parallel External Memory (PEM) model, one of the private-cache chip multiprocessor (CMP) models. We study the...
Abstract. The distance-2 graph coloring problem aims at partitioning the vertex set of a graph into the fewest sets consisting of vertices pairwise at distance greater than two fro...
The Katsevich image reconstruction algorithm is the first theoretically exact cone beam image reconstruction algorithm for a helical scanning path in computed tomography (CT). Ho...