Robotics & Machine Learning Daily News2024,Issue(Jul.4) :77-77.

Study Findings from Xidian University Provide New Insights into Support Vector M achines (Small Target Detection In Sea Clutter By Weighted Biased Soft-margin Sv m Algorithm In Feature Spaces)

西甸大学的研究结果为支持向量机(特征空间加权偏置软边缘Sv M算法在海杂波中的小目标检测)提供了新的见解

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :77-77.

Study Findings from Xidian University Provide New Insights into Support Vector M achines (Small Target Detection In Sea Clutter By Weighted Biased Soft-margin Sv m Algorithm In Feature Spaces)

西甸大学的研究结果为支持向量机(特征空间加权偏置软边缘Sv M算法在海杂波中的小目标检测)提供了新的见解

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摘要

由一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-机器学习的最新研究结果-支持RT向量机已经发表。根据NewsRx记者对西安的新闻报道,研究表明:“高分辨率海杂波中的海面小目标检测一直是一个难以解决的问题,基于多维特征空间的特征检测被认为是一种有效的方法,其中具有可控虚警率的学习算法起着重要作用。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning - Suppo rt Vector Machines have been published. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “S ea-surface small target detection in high-resolution sea clutter is always an in tractable problem. Feature-based detection in multidimensional feature spaces is recognized to be an effective way, and therein, learning algorithms with contro llable false alarm rate play an important role.”

Key words

Xi’an/People’s Republic of China/Asia/Algorithms/Machine Learning/Support Vector Machines/Xidian University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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