This paper presents an approach for generating test data for unit-level, and possibly integration-level, testing based on sampling over intervals of the input probability distribu...
Abstract: This paper introduces a new method for optimally provisioning and pricing differentiated services, that maximizes profit and maintains a small blocking probability. Reso...
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
In this paper we present a randomized complexity theoretic model for those epidemics propagated via short-distance close contact. We prove that the contact-based epidemics problems...