Group A is the conventional distribution, Group B is the distribution after arbitrary migration, Group C is the distribution after scaling transformation and Group D is the distribution after rotational transformation.</p
Deformable convolutional sampling points adaptive offset. (a) Standard convolution sampling point; (...
We study in distributional sense by means of the kernel method an integral transform introduced by K...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...
A dilated casual convolution with dilated factors d = 1,2,4 and filter kernel size k = 3.</p
<p>The insertions are convolved with a kernel function with a width determined by the scale paramete...
<div><p><i>A</i>. Initialization of the generic kernel based on the user-defined position (x’<sub>0<...
Modification of the (UPOLS) convolution algorithm of F. Wefers [70] for moving sources.</p
The purpose of this short and simple note is to clarify a common misconception about convolutional n...
Complexity comparison between the regular convolution kernel versus the depthwise separable convolut...
<p>Presentation of the three assumed truncated frequency distributions used in our investigations.<...
1a Three convolution semigroups A family (µt)t∈[0,∞) of probability measures on R is called a convol...
<p>Fold-change for geometric mean of CP Ag+ group compared to others, with (unadjusted) 95% confiden...
How different values of α and C cluster in four groups. x axis clipped at 4; α>4 clusters in group 1...
AbstractThe non-commutative convolution f∗g of two distributions f and g in D′ is defined to be the ...
We introduce a distributional kernel Kα,β,γ,ν which is related to the operator ⊕k iterated k times a...
Deformable convolutional sampling points adaptive offset. (a) Standard convolution sampling point; (...
We study in distributional sense by means of the kernel method an integral transform introduced by K...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...
A dilated casual convolution with dilated factors d = 1,2,4 and filter kernel size k = 3.</p
<p>The insertions are convolved with a kernel function with a width determined by the scale paramete...
<div><p><i>A</i>. Initialization of the generic kernel based on the user-defined position (x’<sub>0<...
Modification of the (UPOLS) convolution algorithm of F. Wefers [70] for moving sources.</p
The purpose of this short and simple note is to clarify a common misconception about convolutional n...
Complexity comparison between the regular convolution kernel versus the depthwise separable convolut...
<p>Presentation of the three assumed truncated frequency distributions used in our investigations.<...
1a Three convolution semigroups A family (µt)t∈[0,∞) of probability measures on R is called a convol...
<p>Fold-change for geometric mean of CP Ag+ group compared to others, with (unadjusted) 95% confiden...
How different values of α and C cluster in four groups. x axis clipped at 4; α>4 clusters in group 1...
AbstractThe non-commutative convolution f∗g of two distributions f and g in D′ is defined to be the ...
We introduce a distributional kernel Kα,β,γ,ν which is related to the operator ⊕k iterated k times a...
Deformable convolutional sampling points adaptive offset. (a) Standard convolution sampling point; (...
We study in distributional sense by means of the kernel method an integral transform introduced by K...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...