Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...
We present the application of hardware accelerated volume rendering algorithms to the simulation of radiographs as an aid to scientists designing experiments, validating simulatio...
Abstract. Recently developed techniques for reconstruction of highresolution 3D images from fetal MR scans allows us to study the morphometry of developing brain tissues in utero. ...
Abstract. We present the fast Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large clas...
B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauter...