Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
The workflow models have been essentially operation-centric for many years, ignoring almost completely the data aspects. Recently, a new paradigm of data-centric workflows, call...
Bogdan Marinoiu, Serge Abiteboul, Pierre Bourhis, ...
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
The distribution of task time data in usability studies is positively skewed. Practitioners who are aware of this positive skew tend to report the sample median. Monte Carlo simul...
Whenever a pervasive game has to be developed for a group of children an appropriate multi-user setting has to be found. If the pervasive game does not support the children with a...