Simulations preserve the knowledge of complex dynamic systems and consequently transfer the knowledge of the cohesions of its elements to a specified target group. As the progress...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
ut spatial environments, be it real or abstract, human or machine. Research issues range from human spatial cognition to mobile robot navigation. Numerous results have been obtaine...
Christian Freksa, Holger Schultheis, Kerstin Schil...
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...