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Titlebook: Maximum Entropy and Bayesian Methods Garching, Germany 1998; Proceedings of the 1 Wolfgang Linden,Volker Dose,Roland Preuss Conference proc

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Bayesian 3D X-Ray Reconstruction From Incomplete Noisy Data,r three types of models: cluster, plane and phase support algorithm. The influence of the following variables involved in the reconstruction procedure of binary and three level object are investigated: (.) the number of cone-beam projections up to 36, (.) the level of Gaussian distributed white nois
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A Bayesian Reflection on Surfaces, inference of fields, where the basis for the field is itself a continuous object and generally is not representable in a finite manner; the tradeoff between accuracy of representation in terms of information learned, and memory or storage capacity in bits; the approximation of probability distribut
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Adaptive Image Reconstruction with Predictive Model,â.(.) (.= .− 1, . − 2, ⋯, .−1 − ..) are used with predictive image model algorithm .* (.) = Φ [â (.), ..− 1, ⋯, .− 1− n.] = Φ (â, n.), where .. gives the order of the prediction model. For the solution of this problem the cost function .(â.) with the constraints ..(â, .) = 0 is employed. Because the
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R. N. Silvern occurrence 388 10. 1. 5 Summary 391 10. 2 Kelvin-Helmholtz Instability at the Flank Magnetopause 391 10. 3 Microphysics of Magnetopause Processes 396 10. 3. 1978-94-007-8909-8978-1-4020-4582-0Series ISSN 1385-7525
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