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Convolving a number of sources with the PSF results in a finite mixture model.
Convolving a number of sources with the point spread function (PSF) results in a finite mixture model.
Convolving a number of sources with the point spread function (PSF) results in a spatial finite mixture model.
Yu, J. Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach.
In this paper a feature-dependant finite mixture model (FDMM) is proposed.
This paper presents a finite mixture model that involves a pair-copula based construction of a multivariate distribution.
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A variety of engineering applications of the derived finite-mixture model are discussed.
This is the first CCT finite-mixture model, and it is named the Multi-Culture GCM (MC-GCM).
The 'finite mixture model' was applied for the determination of an unknown number of different U/U isotopic signatures.
The clusters and linear regression lines that were computed for both the 'single' and the 'double' deposition samples by the 'finite mixture model' are shown in Fig. 5.
The 'finite mixture model' yielded U/U isotopic compositions that were, within their uncertainties, in good agreement with the certified values (Table 5).
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