based on convolutions with either the normalised sampled Gaussian kernel or the integrated Gaussian kernel followed by central differences. The motivation for studying these discretisation methods is ...

Overall, the linear Fisher kernel was the most reliable method among the time-varying methods, and the Ridge regression model in Riemannian space was the most reliable among the time-averaged methods.

Abstract: Both the minimum error entropy (MEE) and mixture MEE (MMEE) are extensively employed in distributed adaptive filters, exhibiting their robustness against ...

Moreover, since MKC consists of multiple Gaussian kernels, it can effectively resist most of the noise. A MultiKernel Correntropy based Iterative Closest Point (MKCICP) is proposed. Extensive ...

Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 570.86.16 driver release. This can be achieved by installing the ...

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

The first new kernel release of the year has arrived — yes, Linux 6.13 has gone stable. Linux kernel 6.13 adds, as ever, a vast array of improvements, from an updated Raspberry Pi graphics driver ...

In a fractal zeta universe of bifurcated, ripped spacetime, the Millikan experiment, the quantum Hall effect, atmospheric ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

However, traditional walnut grading primarily relies on manual assessment of physiological features, which is difficult to implement efficiently. Furthermore, walnut kernel grading is, at present, ...