One of the main obstacles in integrating 3D volume visualization in the clinical workflow is the time-consuming process of adjusting parameters such as viewpoint, transfer functio...
Stefan Bruckner, Peter Kohlmann, Armin Kanitsar, M...
Since CDN simulations are known to be highly memory-intensive, in this paper, we argue the need for reducing the memory requirements of such simulations. We propose a novel memory...
Purushottam Kulkarni, Prashant J. Shenoy, Weibo Go...
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
Experiences of intimacy and connectedness through social networks are vital to human sense of well-being. We live in an electronic habitat. Electronic mail functions as a medium o...
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...