We develop adaptive sampling criteria which guarantee a topologically faithful mesh and demonstrate an improvement and simplification over earlier results, albeit restricted to 2D...
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
We propose a sweep-based approach to the freeform deformation of three-dimensional objects. Instead of using a volume enclosing the whole object, we approximate only its deformabl...
Background: Methods are now available for the prediction of interaction sites in protein 3D structures. While many of these methods report high success rates for site prediction, ...
Ying Wei, Jaeju Ko, Leonel F. Murga, Mary Jo Ondre...
We present a hybrid group key management protocol that incorporates both a centralized and a contributory scheme for key management, and a tree-based Elliptic Curve Diffie-Hellman...