Robotics & Machine Learning Daily News2024,Issue(Nov.26) :41-41.

Research on Machine Learning Discussed by Researchers at Michigan State Universi ty (A Labeled Array Distance Metric for Measuring Image Segmentation Quality)

密歇根州立大学研究人员讨论的机器学习研究(一种用于测量图像分割质量的标记阵列距离度量)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :41-41.

Research on Machine Learning Discussed by Researchers at Michigan State Universi ty (A Labeled Array Distance Metric for Measuring Image Segmentation Quality)

密歇根州立大学研究人员讨论的机器学习研究(一种用于测量图像分割质量的标记阵列距离度量)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-调查人员发布关于人工智能的新报告。根据新闻报道密歇根州立大学新闻Rx编辑的研究表明,“这项工作引入了两个新的距离用于比较标记阵列的度量,这是图像分割算法HMS的常见输出。每个图像中的像素被分配一个标签,二进制分割只提供两个标签(“前景”和“前景”。'背景')。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting out ofMichigan State University by News Rx editors, research stated, “This work introduces two new distancemetrics for comparing labeled arrays, which are common outputs of image segmentation algorit hms. Eachpixel in an image is assigned a label, with binary segmentation provid ing only two labels (‘foreground’ and‘background’).”

Key words

Michigan State University/Algorithms/M achine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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