We do not interact with systems without first performing some physical action on a physical device. This paper shows how formal notations and formal models can be developed to acc...
Alan J. Dix, Masitah Ghazali, Devina Ramduny-Ellis
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
We present an interactive algorithm for continuous collision detection between deformable models. We introduce two techniques to improve the culling efficiency and reduce the numb...
Min Tang, Sean Curtis, Sung-Eui Yoon, Dinesh Manoc...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Abstract--Since several years, great distribution firms implement more and more complex layout and shelf allocation strategies, so as to force empirical know-how to combine with Ar...