We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
The Internet is a convenient platform to distribute real time traffic information. Thus, we propose a web-based visualization of the current and future traffic load of the entire ...
Andreas Pottmeier, Roland Chrobok, Sigurdur F. Haf...
Government bureaucracies are both extremely complex and long-lived, constantly evolving to reflect and influence their ever changing cultural and physical environments. Software s...
Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...