This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measure...
In this paper, a novel object class detection method based on 3D object modeling is presented. Instead of using a complicated mechanism for relating multiple 2D training views, th...
We propose a novel method to measure the dependability of journaling file systems. In our approach, we build models of how journaling file systems must behave under different jo...
Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, Rem...
In distance learning for computer literacy, a student's skill is dependent on personal experience. In such cases, it is important to determine the student's understandin...
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...