Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
In the context of mesh adaptation, Riemannian metric spaces have been used to prescribe orientation, density and stretching of anisotropic meshes. But, such structures are only con...
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...
Substantial research effort has been invested in recent decades into the computational study and automatic processing of multi-party conversation. While most aspects of conversati...