Python is a preferred programming language for image processing, thanks to its broad selection of libraries that accommodate various image processing activities. This article will explore some of ...

This is their final project for the “ECE 574: Cluster Computing” course at the ... USB 1.1 allowing the system to be controlled with a Python script. It turns out that the work of distributing ...

While cosine similarity has been touted as the answer to helping SEO professionals navigate the demarcation of topics for taxonomy and site structures, I still maintain that search clustering by ...

A cloud of energetic gas lit up by a collision of galaxies spans nearly 20 million light-years, leading astronomers to ...

Despite the centrality of large language models (LLMs) to modern AI workflows, the study confirms that prompt engineering ...

This repository contains the official implementation associated with the paper "AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration". Ubuntu 22.04 & CUDA 12.4 ...

In a nutshell, this image analysis technique can be used to determine the cluster and prediction of images that have different characteristics and attributes.

This paper presents an efficient and lightweight 3D LiDAR object detection framework, 3D-PSH, that combines adaptive clustering with 3D Point Spatial Histograms (3D-PSH) and classical classification ...

MoGe is a powerful model for recovering 3D geometry from monocular open-domain images. The model consists of a ViT encoder and a convolutional decoder. It directly predicts an affine-invariant point ...