In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Simulation models are often developed for a single purpose. However, once a model is accepted by management and other stake-holders, it is quite common and desirable to wish to br...
Reid L. Kress, Pete Bereolos, Karen Bills, James C...
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
Telephone Switches are characteristically long-lived, evolving systems. We describe how a legacy two-tier system for telephone switch management was reengineered as a three-tier w...
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...