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The issue of combined audio-video localization to provide more robust input to the smart initialization is left as future study.
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Most importantly, Ras clusters are more robust to input noise, at least for sufficiently large inputs, than non-interacting Ras molecules (by comparison of green error bars in Fig. 7A and Fig. 8A).
For example, if one would like to identify variables associated with the top three PCs, but is unsure whether the given data has three or four significant PCs, we have found it more robust to input r ^ = 4, which will adjust for potential systematic residual variation captured by the fourth PC.
However, the true classifications are generally more robust to variations in input sequences or alignment parameters of MSA than the false classifications [ 20].
Furthermore, LAMP is more robust in terms of input material and does not have sample preparation requirements compared to PCR (Dugan et al. 2012).
The results indicated that Mogi Coulomb and Hoek Brown are more robust against the uncertainty of input parameters and mud weight used for this wellbore could have slightly been increased to reduce the shear failure of the borehole wall.
Calculations of the macroinflux parameters were more robust to changes in the input profile than were the individual compartmental parameters.
Image registration is performed using an iterative coarse-to-fine approach in which the coarser levels can recover the larger deformations and ensure that the registration algorithm is more robust to noise by smoothing input images.
However, as clinical signs were identified to be the most sensitive input parameter, more robust collection of the data such as mortality records, growth performance and respiratory signs suspicious of PRRS in growing pigs and reproduction performance in breeding stock should be performed in the future.
The extra-insensitive input shaper (EI-IS) has been known to be more robust than the so-called derivative input shapers such as ZVD, ZVDD, and ZVDDD shapers.
Analytical models with multiple nonlinearities are used to show that this modification to H2 leads to accurate estimates that are robust to noise on both the input and the output and that the modified algorithm is more robust to simultaneous noise on the input and output measurements than the H1 and the Hv algorithms.
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Justyna Jupowicz-Kozak
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