In general, motion compensated (MC) deinterlacing algorithms can outperform non-MC (NMC) ones. However, we often prefer to choose the latter due to the considerations of error prop...
Abstract. Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly...
The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Chi...
Holger Blume, Thorsten von Sydow, Daniel Becker, T...
Abstract. During the last decade research groups as well as a number of commercial software developers have started to deploy embodied conversational characters in the user interfa...
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...