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To run the mean shift iterations in the joint search space a 3D kernel consisting of the product of the spatial object-based kernel from Section 4.2 and a kernel for the scale dimension (18). is defined.
where the function F 1 2 appearing as a kernel for the operator (1.4) is the Gaussian hypergeometric function defined by F 1 2 ( a, b ; c ; t ) = ∑ n = 0 ∞ ( a ) n ( b ) n ( c ) n t n n !, (1.5).
When some markers are missing for some individuals, we can calculate a kernel for the presence and absence states for these markers.
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In this report we solve the problem by identifying a kernel for density distribution in the USM space that matches the fractal succession of Markov transition orders.
A teleoperation system is a communication kernel for the dialog between a client: a server and an interface towards an automated system.
In this paper, we propose a new dissipative weighting function (or a new kernel) for the DPD (or the sDPD) formulation, which allows both the viscosity and the Schmidt number to be independently specified as input parameters.
In this paper, we explain the design rationale of AsmL and provide static and dynamic semantics for a kernel of the language.
Figure 3 presents a kernel map for the mean parasite load among the individuals who were positive for schistosomiasis per home.
The Lyapunov functional is chosen with a constant kernel for the small values of the so-called Peclet number (i.e. the quotient of diffusion to convection time) and with a spatial-dependent kernel for high Peclet numbers.
For instance, in harmonic analysis the Poisson kernel is a reproducing kernel for the Hilbert space of square-integrable harmonic functions in the unit ball.
We used SVM with a RBF kernel for the classifiers.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com