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Width of kernel of radial basis function.
And then, the penalty term C and the width of kernel g are need to be tuned.
Figure 7 shows the effect of width of kernel w on thresholds th and tl and number of pixels selected for embedding.
The width of kernel in our analyses was determined as the point where the spatial correlation decreases to below 0.2, which is approximately 1.5 kb in the honey bee data.
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The method relies on an adaptive density kernel estimation (ADKE) algorithm, which allows the width of the kernel interpolant to vary locally in space and time so that the minimum necessary smoothing is applied in regions of low density.
Since each kernel function represents a local structure in the vicinity of the center of the kernel function, the local structure as small as the width of the kernel function can be estimated for the region covered by the SuperDARN.
where exp is a Gaussian kernel function, the smoothing constant h ij is the width of the kernel function which can be determined by using the method in [29].
By using a Radial Basis Kernel [ 26, 66] we enlarged the feature space to improve the separation; the width of the kernel is controlled by a parameter γ.
Numerical results show that the width of the kernel should be kept below about 12% of the domain size, and that the analytic equations used to derive kernel width suffer significantly from the neglect of higher-order moments.
Canny edge detector's sensitivity to noise is controlled by width of the kernel.
Initially, the width of the kernel is taken as constant to obtain the threshold value.
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