The authors have developed several methods for spatially distributing spectral material in real-time using frequency-domain processing. Applying spectral spatialization techniques...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
—We propose a combinatorial solution to determine the optimal elastic matching of a deformable template to an image. The central idea is to cast the optimal matching of each temp...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Future space missions, such as Mars Science Laboratory, are built upon computing platforms providing a high degree of autonomy and diverse functionality. The increased sophisticat...
Damian Dechev, Peter Pirkelbauer, Nicolas Rouquett...