The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Because of recent advances in graphics hard- and software, both the production and use of 3D models are increasing at a rapid pace. As a result, a large number of 3D models have be...
Patrick Min, Michael M. Kazhdan, Thomas A. Funkhou...
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
Methods for Worst-Case Execution Time (WCET) analysis have been known for some time, and recently commercial tools have emerged. However, the technique has so far not been much use...
Daniel Sandell, Andreas Ermedahl, Jan Gustafsson, ...
The very nature of implementing and evaluating fully distributed algorithms or protocols in application-layer overlay networks involves certain programming tasks that are at best m...