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Medical image processing is a demanding domain, both in terms of CPU and memory requirements. The volume of data to be processed is often large (a typical MRI dataset requires 10 MBytes) and many processing tools are only useful to the physician if they ar ...
The extraction of information from measured data about the interactions taking place in a network of systems is a key topic in modern applied sciences. This topic has been traditionally addressed considering bivariate time series, providing methods that ar ...
2008
This paper suggests several approaches for determining the transient stability of a power network by using an analog VLSI chip for simulating the system behavior. The main advantages of using this method are the much shorter computation time and lower comp ...
We present a fast algorithm for image restoration in the presence of Poisson noise. Our approach is based on (1) the minimization of an unbiased estimate of the MSE for Poisson noise, (2) a linear parametrization of the denoising process and (3) the preser ...
We present a method of formal description of the action semantics in smart objects. Smart objects were primarily used for behavioral animation in the past. We demonstrate, how a formally described semantics can be used for action planning purposes by intel ...
Measures of signal complexity can be used to distinguish neurophysiological activation from noise in those neuroimaging techniques where we record variations of brain activity with time, e.g., fMRI, EEG, ERP. In this paper we explore a recently developed a ...
This paper formulates and solves a robust criterion for least-squares designs in the presence of uncertain data. Compared with earlier studies, the proposed criterion incorporates simultaneously both regularization and weighting and applies to a large clas ...
Society for Industrial and Applied Mathematics2002
We present in this paper an approximative method for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation method and requires a linear number of messages. The largest message is in the worst c ...
Geometries and 29Si NMR chem. shifts are calcd. for silanes SinH2n+2, n=1,...,5, methylsilanes SiHnMe4-n, methoxysilanes SiHn(OMe)4-n, and methylmethoxysilanes SiMen(OMe)4-n, n=0,...,4. Geometries and 29Si NMR chem. shifts are in satisfying agreement with ...
We present an optimal spline-based algorithm for the enlargement or reduction of digital images with arbitrary (noninteger) scaling factors. This projection-based approach can be realized thanks to a new finite difference method that allows the computation ...
