Sentence examples for cost function measures from inspiring English sources

The cost function measures the 2-D distance between a keypoint x i and its corresponding transformed and projected keypoint (hat {boldsymbol {x}}_{i}) in the other image.

Complying with this idea, an identification procedure is framed as an optimization problem where the proposed cost function measures the error in constitutive relation due to incompatible curvature/strain and moment/stress fields.

In mathematics, low-rank approximation is a minimization problem, in which the cost function measures the fit between a given matrix (the data) and an approximating matrix (the optimization variable), subject to a constraint that the approximating matrix has reduced rank.

The reason for this, as discussed above, is that the NMF cost function measures the precision of reconstruction of the original reverberant speech, rather than dereverberation that should be left for matrix R. Note that matrix R is updated only once, as our preliminary experiments revealed that by alternating the R and A updates, it is difficult to obtain stable estimates for both matrices.

This component of the cost function measures the slow waveform of the membrane potential and is not particularly sensitive to spikes.

The cost function measures how closely the model's behavior matches the viability condition.

Also it is our objective to keep the cost function, measured in terms of time, as low as possible.

The unknown parameters are estimated by minimizing a cost function measuring the difference between experimental and simulated concentration profiles.

The task of finding Walsh-synthesized modulation patterns that produce effective filters is reduced to minimizing a cost function measuring the extent to which noise over a user-defined spectral band is filtered by the applied control.

Typical cost functions measure performance metrics such as throughput, packet delivery probability and delay.

The first one is an algebraic method based on the maximization of a cost function that measures the periodicity.