How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
A semi-automatic approach is presented that enables the generation of a high-quality 3D model of a static object from an image sequence that was taken by a moving, uncalibrated co...
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
This paper develops the manifold T-splines, which naturally extend the concept and the currently available algorithms/techniques of the popular planar tensor-product NURBS and T-sp...
Ying He 0001, Kexiang Wang, Hongyu Wang, Xianfeng ...
— This paper presents the design and control of an actuated bivalve robot, which has been developed to study the burrowing locomotion of bivalves in sediment. The setup consists ...
Agathe Koller-Hodac, Daniel Peter Germann, Alexand...