首页> 外国专利> COMPUTER-READABLE MEDIUM STORING LEARNING-MODEL GENERATING PROGRAM, COMPUTER-READABLE MEDIUM STORING IMAGE-IDENTIFICATION-INFORMATION ADDING PROGRAM, LEARNING-MODEL GENERATING APPARATUS, IMAGE-IDENTIFICATION-INFORMATION ADDING APPARATUS, AND IMAGE-IDENTIFICATION-INFORMATION ADDING METHOD

COMPUTER-READABLE MEDIUM STORING LEARNING-MODEL GENERATING PROGRAM, COMPUTER-READABLE MEDIUM STORING IMAGE-IDENTIFICATION-INFORMATION ADDING PROGRAM, LEARNING-MODEL GENERATING APPARATUS, IMAGE-IDENTIFICATION-INFORMATION ADDING APPARATUS, AND IMAGE-IDENTIFICATION-INFORMATION ADDING METHOD

机译:计算机可读介质存储学习模型生成程序,计算机可读介质存储图像识别信息添加程序,学习模型生成设备,图像识别信息通知添加设备和图像标识符

摘要

A computer-readable medium storing a learning-model generating program causing a computer to execute a process is provided. The process includes: extracting feature values from an image for learning that is an image whose identification information items are already known, the identification information items representing the content of the image; generating learning models by using binary classifiers, the learning models being models for classifying the feature values and associating the identification information items and the feature values with each other; and optimizing the learning models for each of the identification information items by using a formula to obtain conditional probabilities, the formula being approximated with a sigmoid function, and optimizing parameters of the sigmoid function so that the estimation accuracy of the identification information items is increased.
机译:提供了一种计算机可读介质,该计算机可读介质存储了使得计算机执行处理的学习模型生成程序。该过程包括:从要学习的图像中提取特征值,该学习图像是其识别信息项已经已知的图像,该识别信息项表示图像的内容;以及通过使用二进制分类器生成学习模型,所述学习模型是用于对特征值进行分类并且将识别信息项和特征值彼此关联的模型;通过使用公式来获得条件概率来优化每个识别信息项的学习模型,该公式用S形函数逼近,并优化了S形函数的参数,从而提高了识别信息项的估计精度。

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