This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
In this paper, we develop adaptive metrics to identify stable links in a mobile wireless networking environment based on the analysis of link durations in several different mobili...
Michael Gerharz, Christian de Waal, Matthias Frank...
Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with parabol...
Francis Deboeverie, Peter Veelaert, Kristof Teelen...
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...