Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
For pilots the importance of knowing their height (distance above the ground) cannot be minimized. An error in determining height can easily prove fatal. Commercial and military a...
Kim P. Martin, Dwight D. Egbert, Frederick C. Harr...
Abstract. We present a formal specification and analysis of a faulttolerant DHCP algorithm, used to automatically configure certain host parameters in an IP network. Our algorith...
Rui Fan, Ralph E. Droms, Nancy D. Griffeth, Nancy ...