In Model Integrated Computing, it is often desirable to evaluate different design alternatives as they relate to issues of scalability. A typical approach to address scalability is...
Jeffrey G. Gray, Yuehua Lin, Jing Zhang, Steven No...
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...