Sentence examples for kernel point from inspiring English sources

The phrase "kernel point" is correct and usable in written English.
It is typically used in mathematics or computer science contexts to refer to the point (or vertices) of a polygon that is most central to the shape, or to a point around which a transformation occurs. For example, "The kernel point of the polygon was determined to be the vertex located in the midpoint of two diagonally opposite sides."

Exact(1)

Due to convolution properties, the convolved image can be divided into arbitrarily small parts, but all the sub-images have to be extended with neighboring pixels of at least size of the filter kernel (point spread function--PSF), as described in [17].

Similar(59)

For a data set of multiple monotonic sequences, each leaf monotonic sequence represents the kernel of a class, which then "grows" by absorbing nearby non-kernel points.

We will show kernels that are effective across multiple age ranges.> -wrap-foot> not not applicable; *, experimental evidence; P, predicted utility The evidence on kernels points to the possibility that policies requiring or promoting the use of some kernels may be appropriate.

In (26), ε(1,-l) is the same as ε -1,l) since an ellipsoidal kernel is point symmetric with respect to the middle point.

In the present experience, there is the kernel or point of the now.

Under this kernel, any point d i ∈ X, is implicitly mapped to an image ɸ(d i ) in the feature space FS.

Its house beers are Brooklyn lager and Sierra Nevada, while its 10 ever-changing guest bottles include gems from British pace-setters such as Wild Beer, Kernel, Five Points and Cambridge-based micro BlackBar.

For a larger sized kernel (31 points), the speedup should be virtually linear, resulting in an 8 times speedup compared to the CPU implementation.

Furthermore, through the use of a kernel function, points can be transformed non-linearly into a higher or even infinite dimensional space where a better separating hyperplane might exist.

We have considered two different kernels (7-point Jacobi and seismic wave modelling) to demonstrate the effectiveness of our approach.

"Once you become the kernel, at that point you are the phone," Murray says.

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