Sentence examples for using the parameter space from inspiring English sources

This alternate method shall be referred to as "coarse-grained parameter space," and its impact will be evaluated in Section 4. Figure 6 shows line detection results using the parameter space for the DHT (Fig. 6 d) compared with the classic exhaustive one-to-many HT (all the contour points are voting, Fig. 6 b).

All percentages are out of 5000 randomly selected parameter sets using the parameter space depicted in Figure 3I.

That is, we use the parameter space of ρ ∈ [ −4σ, 4σ], instead of the traditional ρ ∈ [−W, W], where W = w 2 + h 2 / 2, w is the width and h denotes the height of the image, the result of the Hough transform is unaffected.

When dividing it into (2^{k}) pieces we obtain (2^{k} + 1) values of γ which we use as the parameter space (Theta={gamma_{0}, gamma _{1}, ldots, gamma_{2^{k}}}) in order to match each AS against its most similar community (according to the recall score (R_{2}(AS))) among the (2^{k} + 1) different partitions.

To incorporate high-fidelity models into the optimization loop while maintaining a moderate computational cost, a Multi-Fidelity Optimization (MFO) strategy is proposed: as a preliminary step, a HOST-based genetic algorithm optimization is used to reduce the parameter space and select a set of blade geometries used to initialize the high-fidelity stage.

We designed the grid by using the reformulated parameter space, where normalised stress tensors correspond to points on the five-dimensional unit sphere.

As the main contribution of this work is independent of these steps, the different HTs were compared using the same parameter space and selection steps.

Using the proposed parameter space, segment detection cannot be treated as a traditional peak detection problem, since each cell only contains information about one of the two endpoints of a given segment.

Estimated state bounds can then be determined using the intersected parameter space.

The n = 5 and n = 7 vertical case networks produced 27.9% and 13.5% off-target effects, respectively, using the same parameter space.

These predictive tools can be used to reduce the parameter space before scoping exercises.