This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a pa...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Redundancy can improve the availability of components in service-oriented systems. However, predicting and quantifying the effects of different redundancy strategies can be a comp...
ization method is an abstract function that transforms a scientific dataset into a visual representation to facilitate data exploration. In turn, a visualization display is the vis...