The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Service Oriented Architectures are emerging as the recommended paradigm for developing dispersed escience environments. In this paper we analyze the characteristics and requiremen...
Component frameworks, including those that support the Common Component Architecture (CCA), represent a promising approach to addressing this challenge, one that is being realized...
Madhusudhan Govindaraju, Michael J. Lewis, Kenneth...
— The recent advances of distributed hash tables (DHTs) facilitate the development of highly scalable and robust network applications and services. However, with applications and...