Domain-Specific Languages (DSLs) are high level languages defined for combining expressivity and simplicity by means of constructs which are close to the problem domain and distan...
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Complex shapes - such as the surface of the human brain may be represented and analyzed in frequency space by a spherical harmonics transformation. A key step of the processing ch...
There is a growing trend of enabling users to view diverse sources of data in an integrated manner, called visual mashups. This paper addresses the problem of how to visualize div...