We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
This paper explores the body of e-government research surfaced during 1998-2003 in Web of Science and ProQuest. The search identified 158 scholarly papers. Using a classification ...
Kim Viborg Andersen, Helle Zinner Henriksen, Amar ...
: The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we und...
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
This paper presents a technique to identify and measure the prominent sources of sensor noise in commercially available CCD video cameras by analysis of the output images. Noise fu...
Kenji Irie, Alan E. McKinnon, Keith Unsworth, Ian ...