Temporal interpolation has been recently proposed as a solution for increasing temporal resolution or even for predicting missing or corrupted frames within a video sequence. In t...
Alexis M. Tourapis, Hye-Yeon Cheong, Ming L. Liou,...
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
AutoSteve performs automated electrical design based on qualitative simulation and functional abstraction. It is the first commercial product capable of performing these tasks for ...
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Abstract. The paradigms of service-oriented computing and modeldriven development are becoming of increasing importance in the field of software engineering. According to these par...
Natallia Kokash, Christian Krause, Erik P. de Vink