This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...
Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wo...
Integrated process support is highly desirable in environments where data related to a particular business process are scattered over distributed, heterogeneous information system...
Manfred Reichert, Sarita Bassil, Ralph Bobrik, Tho...
In many cases, radio-frequency catheter ablation of the pulmonary veins attached to the left atrium still involves fluoroscopic image guidance. Twodimensional X-ray navigation may...
Alexander Brost, Rui Liao, Norbert Strobel, Joachi...