Experimentally driven research for wireless sensor networks is invaluable to provide benchmarking and comparison of new ideas. An increasingly common tool in support of this is a t...
Tobias Baumgartner, Ioannis Chatzigiannakis, Maick...
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Volumetric Subdivision (VS) is a powerful paradigm that enables volumetric sculpting and realistic volume deformations that give rise to the concept of "virtual clay". I...
Kevin T. McDonnell, Neophytos Neophytou, Klaus Mue...
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Problem determination remains one of the most expensive and time-consuming functions in system management due to the difficulty in automating what is essentially a highly experien...
Hai Huang, Raymond B. Jennings III, Yaoping Ruan, ...