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where denotes the set of template points.
A signal model approach is advocated here since the pressure template points are interrelated across time.
This motivates us to simplify the template matching by merely interpolating the relevant template points, as described below.
This diagram shows that the pressure template points are interrelated in time and are of random nature.
From the process discussed above, it can be seen that only a limited number of template points are involved in template matching.
This is because only a number of template points are incorporated in template matching, and thus, feasible computation time is achieved.
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The computational requirements of the algorithm are reduced by restricting the transformation to the template edge points and using invariant information during the comparison process.
All other ligands are superimposed to the firstly placed ligand by minimizing the RMSD between the common subset of own and already placed template anchor points.
The answers are then assessed using a standard scoring template with points awarded for key components of each answer.
In any case, the apparent delay in product formation with the 3′SL template clearly points to the requirement of an additional mechanism of activation that makes this template more susceptible to efficient polymerization (see below).
For every template grid point, we then calculated the corresponding position in the original photomicrographs, and hence in the glutamate-induced activity maps, by mathematically inverting the used transformations.
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