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The marginal fittings of univariate maximum entropy distributions and the trivariate data fitting based on normal copula fit the data well.
This method produces high quality fitting results on incomplete data, which are hard to be offered by the surface fitting based methods.
Finally, the lower eyelid is localized using parabolic curve fitting, based on gray level segmentation.
Then absorption coefficients are computed by curve fitting based on the least square method.
c) Polynomial Fitting based methods This is by far the most commonly used method for baseline removal of Raman spectra.
Nonlinear curve fitting based on the least squares algorithm was used to optimize parameters in the proposed RDII model.
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In this paper, in order to reduce the effect of noise in extracting the AR parameters, first, we avoid computing cepstrum directly from the noise-corrupted observations by using a one-sided ACF, and then develop a ramp cosine cepstrum (RCC) model for a model-fitting based least-squares optimization in the cepstral domain.
In addition, the output from the shortest path search for the OS/RPE and BM/Choroid are smoothed using a polynomial curve-fitting based technique.
In order to avoid potential over-fitting based on the predicted subcellular characteristics of proteins in the positive set, we spiked the negative set with 1,300 randomly selected pairs of proteins without known or predicted interactions drawn from the positive set, wherein the proteins in the pair were drawn in proportion to their representation within the interacting pairs.
end{array} (64) Central DOA estimation via the covariance-fitting-based method: we estimate the central angles (hat {bar {boldsymbol {theta }}}(t)) via the covariance-fitting-based algorithm as described in the previous subsection.
Then, the covariance-fitting-based algorithm and the Kalman filtering theory are combined to formulate an adaptive tracking algorithm.
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