Data Fusion and Data Pruning

we propose a new VR system architecture (see fig.3), us- ing what we call an Adaptative 3D Interaction Framework (A-3DI Framework), by adding a new component: data pro- cessing and

For the case of the Kalman Filter implementation, we can conclude that even when the acceleration provided by the accelerometer is not the real one, the data

Thus, we can conclude that our subjects perceived a qualitative difference between com- mon spreadsheet- and SACHS information objects, where former are concerned with supporting

The proposed approach is based on the creation of a novel knowledge discovery method relying on the combination, through an iterative ‘feedback- loop’, of (a) data

Data generation allows us to both break the bottleneck of too few data sets (or data sets with a too narrow range of characteristics), and to understand how found patterns relate to

Despite these challenges, the microscopic data of the road users involved in the traffic events could be extracted, as well as other vehicle and contextual information: the

We will illustrate how cluster membership may be used as input for downstream data mining models, using the churn data set and the clusters uncovered above. Each record now

Two types of spatiotemporal databases are mainly considered: databases containing trajecto- ries of moving objects located in both space and time (e.g. bird or aircraft