Jobs have been cut at US whiskey maker Uncle Nearest and the business may have to sell some of its Cognac assets, a new report from its receiver shows.

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...

Abstract: In the multi-target tracking scenario, the nearest neighbor(NN) algorithm is the most commonly used method in the track association stage. By setting the tracking gate, the initial screening ...

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...

Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these ...

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

Over the past few years, we observed a rethinking of classical artificial intelligence algorithms from a quantum computing perspective. This trend is driven by the peculiar properties of quantum ...

Abstract: This study explores the application of the K-Nearest Neighbor (K-NN) algorithm in predicting the operational conditions of natural gas pipeline transmission networks, utilizing data ...