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Exact(18)
Hence, the MU position of the localizing wireless node can be estimated by finding satisfying (6).
The optimum smoothness parameters were estimated by finding the minimum value of ABIC.
Hence, the MS position can be estimated by finding that satisfies (19).
The columns of the mixing matrix are estimated by finding picks in a 2D histogram of amplitude-delay estimates.
As a result, the time delay sample can be estimated by finding the maximum peak of the ES-GCC function as (9).
The DCP is estimated by finding the minimum value among the R, G, and B pixels, and it is used to estimate the transmission map of the non-haze region.
Similar(42)
Most nonlinear regression algorithms follow the Newton Raphson approach in which the parameters of the model are iteratively estimated by repeatedly finding an optimum direction (first-order optimality) and step-length with which to move the current iterate.
Once the second stage SVM has been trained, the binding propensity of a test protein can be estimated by first finding its most likely binding site window using MI-1 SVM, and then evaluating the discriminant function value of the second stage SVM for the chosen window.
A similar method was also employed in [23], where they estimate the illumination of an input image using a two-stage map method; the illumination of each pixel is first estimated individually by finding the maximum value in R, G, and B channels.
An FPC curve ξ κ (t) and its corresponding FPC scores z κi, κ = 1, …, , for individuals i = 1, …, n, are estimated simultaneously by finding a weight function ξ(t) defined over the same range of t as the functional data x i (t), maximising the variance of the corresponding individual FPC scores z i, given by z i = ∫ ξ(t) x i (t) dt, subject to constraints.
Our method estimates θ0 by finding a value of θ that maximizes f(θ|s).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com