A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
A key problem in software engineering is changing the code. We present a sequence of visualizations and visual metaphors designed to help engineers understand and manage the softw...
Stephen G. Eick, Todd L. Graves, Alan F. Karr, Aud...
This article presents a modular, distributed and scalable many-camera system designed towards tracking multiple people simultaneously in a natural human-robot interaction scenario ...
With the advances in processing, memory, and connectivity technologies, applications are becoming increasingly distributed, data-centric, and web based. These applications demand ...
This paper presents a development methodology for complex robotic systems using the behavior-based control architecture iB2C (integrated Behavior-Based Control). It is shown how a...