Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
We present sparse indexing, a technique that uses sampling and exploits the inherent locality within backup streams to solve for large-scale backup (e.g., hundreds of terabytes) t...
Mark Lillibridge, Kave Eshghi, Deepavali Bhagwat, ...
This paper presents a vision-based approach to SLAM in indoor / outdoor environments with minimalistic sensing and computational requirements. The approach is based on a graph repr...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
The common vision of pervasive computing environments requires a very large range of devices and software components to interoperate seamlessly. From the assumption that these dev...