2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.NE2017
Hierarchical Surrogate Modeling for Illumination Algorithms
Alexander Hagg
Evolutionary illumination is a recent technique that allows producing many diverse, optimal solutions in a map of manually defined features. To support the large amount of objectiv…
cs.NE2017★ 2 cited
Evolving Parsimonious Networks by Mixing Activation Functions
Alexander Hagg, Maximilian Mensing, Alexander Asteroth
Neuroevolution methods evolve the weights of a neural network, and in some cases the topology, but little work has been done to analyze the effect of evolving the activation functi…
cs.CV2016
On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities
Alexander Hagg, Frederik Hegger, Paul Plöger
Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios. We show…