In this paper, we describe a new force-feedback technique termed "inverted damping", which aids users in manually selecting specific items from within a range of possibl...
In traditional database security research, the database is usually assumed to be trustworthy. Under this assumption, the goal is to achieve security against external attacks (e.g....
We present a framework called Semantic Streams that allows users to pose declarative queries over semantic interpretations of sensor data. For example, instead of querying raw magn...
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example ge...
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...