In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
How do tangible systems take advantage of our sociophysical embodiment in the world? How can we use tangible interaction to better understand collaboration and intersubjectivity? ...
We present a category learning vector quantization (cLVQ) approach for incremental and life-long learning of multiple visual categories where we focus on approaching the stability-...
Stephan Kirstein, Heiko Wersing, Horst-Michael Gro...
The centroidal Voronoi tessellation (CVT) has found versatile applications in geometric modeling, computer graphics, and visualization. In this paper, we extend the concept of the...
Ultrasound (US) is a medical imaging modality which is extremely difficult to learn as it is user-dependent, has low image quality and many artifacts that depend on the viewing d...
Tobias Blum, Sandro Michael Heining, Oliver Kutter...