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The registration between the consecutive IR frames can be achieved using a quadratic motion model.
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The quality of estimation is validated using a quadratic criterion.
The final estimates are obtained using a quadratic interpolation.
The results were analyzed using a quadratic loglog curve fit.
The quadratic trends of each value across sleep duration categories were tested using a quadratic regression analysis.
The possibility of a local maximum was tested using a quadratic term for year.
We adjusted for maternal age as a continuous variable using a quadratic polynomial function.
The results were analysed using a quadratic or 4PL algorithm curve fit.
We tested for log-linearity of quantitative variables (eg, weight) using a quadratic factor.
The results depicted in Figure 7 were reproduced using a quadratic-like and inverse-quadratic-like interpolation scheme for the measurements (Additional file 1).
A sequence of IR image frames recorded during the recovery phase can be aligned to compensate for involuntary body/limb movement of the patient by applying a quadratic motion model for registration.
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