Abstract. To solve problems that require far more memory than a single machine can supply, data can be swapped to disk in some manner, it can be compressed, and/or the memory of mu...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Abstract. Many different access control policies and models have been developed to suit a variety of goals; these include Role-Based Access Control, One-directional Information Flo...
Vincent C. Hu, Deborah A. Frincke, David F. Ferrai...
Abstract. Though there has been nearly three decades of work on program slicing, there has been comparatively little work on slicing for state machines. One of the primary challeng...
Kelly Androutsopoulos, David Clark, Mark Harman, Z...