Abstract: We give an analytical and geometrical treatment of what it means to separate a Gaussian kernel along arbitrary axes in Ropf n, and we present a separation scheme that allows us to ...

Abstract: Counting objects in remote sensing is crucial for analyzing their distribution in images. Compared to surveillance perspectives, counting dense objects in remote sensing images is more ...

Q1. Why is Gaussian preferred over large box LP? Because Gaussian has smoother frequency response without sharp cutoffs or ringing artifacts. It preserves edges better and reduces aliasing compared to ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

In the actual brain’s visual cortex, neurons are connected broadly and smoothly around a central point, with connection strength varying gradually with distance (a, b). This spatial connectivity ...

Introduction: Accurate segmentation of lesion tissues in medical microscopic hyperspectral pathological images is crucial for enhancing early tumor diagnosis and improving patient prognosis. However, ...

Computational Brain Science Lab, Division of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, Sweden This paper presents an analysis of properties of two hybrid ...

You might have heard the term “splat” or “Gaussian splat” used recently in the XR space. Gaussian splatting is a rendering technique that has been around for a long time but has found a new ...