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METHODS FOR OBJECTIFICATION OF SUBJECTIVE CLASSIFICATIONS

机译:主观分类的客观化方法

摘要

The method is based on consensus analyses of classifications at the object level carried out by learning systems. To determine persons or groups of persons ability to analyse details, e.g. in visual objects, digitised images of the objects are feed into a computer, where each image is assigned a number of characteristics, N out of Q possible. Some of the characteristics in the images are being selected, after which a person is set to identify the images by determination of the characteristics. The same image in a series of images is presented for the person several times, and if the person is capable to distinguish the images from each other, and furthermore reach the same results with the same images, then the person possess good abilities for type determination of reference signals, e.g. in form of images. The invention is suitable to identify persons, who are gifted for analysis of e.g. biological samples, such as images samples of semen samples, cancer cells, etc.
机译:该方法基于学习系统在对象级别对分类的共识分析。确定个人或人群分析细节的能力,例如在视觉对象中,将对象的数字化图像输入计算机,在计算机中为每个图像分配许多特征,其中Q个可能有N个。选择图像中的某些特征,然后设置人以通过确定特征来识别图像。一系列图像中的同一幅图像会多次呈现给该人,并且如果该人能够彼此区分图像,并且使用同一幅图像达到相同的结果,则该人具有良好的类型确定能力参考信号,例如以图像的形式。本发明适合于识别有天赋的人,例如分析他们的人。生物样品,例如精液样品,癌细胞的图像样品等。

著录项

  • 公开/公告号IL129956B

    专利类型

  • 公开/公告日2004-11-10

    原文格式PDF

  • 申请/专利权人 JAN MEYROWITSCH;

    申请/专利号IL129956

  • 发明设计人

    申请日1999-05-13

  • 分类号

  • 国家 IL

  • 入库时间 2022-08-21 23:10:38

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