In this paper, we propose a robust and efficient Lagrangian approach for modeling dynamic interfaces between different materials undergoing large deformations and topology change...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Abstract. Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image r...
Linh K. Ha, Marcel Prastawa, Guido Gerig, John H. ...
The GEMSS project has developed a service-oriented Grid that supports the provision of medical simulation services by service providers to clients such as hospitals. We outline the...
Stuart E. Middleton, Mike Surridge, Siegfried Benk...