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To testify the superiority of the proposed methods, the mean square error (MSE) performances are compared via simulation.
With the aid of experimental design methods, the mean particle size of the primary pigment powders can be processed to as small as 46 nm.
With all three approximation methods the mean value μ s → v ( k ) of the pdf of m s → v ( k ) can be estimated using Monte-Carlo simulation.
Following most of deep-learning-based image restoration methods, the mean square error is adopted as the cost function of our network.
Two well established methods, the mean strain and the stress transfer approaches (partial interaction) are combined through a newly proposed strain compliance principle.
Over all source locations and methods, the mean localization error when using the inner skull boundary was significantly lower than when using the scalp surface (scalp/inner skull = 9.08 mm/6.76 mm P < 0.0002).
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We quantitatively compare two template-based tracking algorithms, Hager's method and the hyperplane tracker, and three histogram-based methods, the mean-shift tracker, two trust-region trackers, and the CONDENSATION tracker.
As common spectral parameters for the SIR-2 spectra, two absorption features near 1300 nm and 2000 and their characteristics provide 10 variables which are used in two different unsupervised clustering methods, the mean-shift clustering algorithm and the recently developed graph cut-based clustering algorithm by Müller et al. (2012).
To obtain insight into sensitivity to change of the methods, the means and SDs of baseline, 2-year and 12-year status scores were assessed.
In our method, the mean value for the next prior distribution is adjusted according to its current estimate.
In this method, the mean of every histogram is calculated iteratively (r) times to produce (2 r ) sub-histograms.
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