A novel framework for the factorisation of complex-valued data is derived using recent developments in complex statistics. Unlike existing factorisation tools the algorithms can c...
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Limitations of current 3D acquisition technology often lead to polygonal meshes exhibiting a number of geometrical and topological defects which prevent them from widespread use. ...
Abstract-- Many tracking problems are split into two subproblems, first a smooth reference trajectory is generated that meet the control design objectives, and then a closed loop c...
Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung,...