Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-09-24 DOI:10.1080/10618600.2024.2406301

Guannan Wang, Yuchun Wang, Annie S. Gao, Li Wang

引用次数: 0

Abstract

Advancements in technology have elevated the prominence of 3D point cloud data, making its analysis increasingly vital across various applications. This need drives the demand for advanced statisti...

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通过分布式学习实现三维点云信号的高效非参数估计

技术的进步提升了三维点云数据的重要性，使其在各种应用中的分析变得越来越重要。这种需求推动了对先进统计技术的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.