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In this paper, a fast estimation method which is developed for estimating the parameters of the generalized Gaussian distribution (GGD) mixture model is presented.
Thus the compensation of the visual latency will be important for accurate and fast estimation of the object motion, especially when we use the estimated variables for real-time control purpose.
Mapping of beta-cells color signature onto a ternary plot allowed fast estimation of clones within an islet.
This two step procedure enables fast estimation of the overcomplete group sparse representations.
This paper proposes a method for a fast estimation of the largest eigenvalue of an asymmetric tridiagonal matrix.
We propose a powerful and fast estimation approach that allows wires to have bounded-length detours to bypass congestions.
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One step is devoted to parameterization, while the other is dedicated to perform fast estimations.
In this subsection, we present new expressions to compute the power, mean and variance of the output error for LTI systems in steady state that enable fast estimations.
However, as we will see in Section 6, the computation times are within standard times, and the benefits of fast estimations make up for the sometimes slow parameterization process.
Under these conditions, this method permits faster estimation of soil redistribution rates, providing the possibility of estimating soil redistribution rates over larger areas in a shorter time.
NSGA-II and SPEA2 enabled faster estimation of the Pareto front, but produced significantly worse solutions than the exact optimization methods.
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