Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
—Image-based computation of a 3D map for an indoor environment is a very challenging task, but also a useful step for vision-based navigation and path planning for autonomous sys...
The Route Shepherd tool demonstrates applications of choosing between routing protocol configurations on the basis of rigorouslysupported theory. Splitting the configuration spa...
Alexander J. T. Gurney, Xianglong Han, Yang Li, Bo...
Inefficient use of memory, including leaks and bloat, remain a significant challenge for C and C++ developers. Applications with these problems become slower over time as their wo...