We present a generalization of thin-plate splines for interpolation and approximation of manifold-valued data, and demonstrate its usefulness in computer graphics with several app...
Florian Steinke, Matthias Hein, Jan Peters, Bernha...
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
In this work, we study the problem of power allocation in teams. Each team consists of two agents who try to split their available power between the tasks of communication and jam...
Abstract. The abstraction of cryptographic operations by term algebras, called DolevYao models or symbolic cryptography, is essential in almost all tool-supported methods for provi...
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...