We present an approach to generating volumetric meshes from closed triangulated surface meshes. The approach initially generates a structured hexahedral mesh based on the bounding ...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
This paper describes a comprehensive prototype of large-scale fault adaptive embedded software developed for the proposed Fermilab BTeV high energy physics experiment. Lightweight...
Derek Messie, Mina Jung, Jae C. Oh, Shweta Shetty,...
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Recent developments in reconfigurable hardware technologies have offered high-density high-speed devices with the ability for custom computing whilst maintaining the flexibility o...