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General method of pattern classification using the two domain theory

机译:使用两域理论进行模式分类的一般方法

摘要

Human beings judge patterns (such as images) by complex mental processes, some of which may not be known, while computing machines extract features. By representing the human judgements with simple measurements and reducing them and the machine extracted features to a common metric space and fitting them by regression, the judgements of human experts rendered on a sample of patterns may be imposed on a pattern population to provide automatic classification.
机译:当计算机提取特征时,人类通过复杂的心理过程来判断模式(例如图像),其中某些可能未知。通过用简单的测量值来表示人类的判断,并将其缩减,然后将机器提取的特征缩小到一个通用的度量空间,然后通过回归将其拟合,可以将人类对样本样本的判断施加到样本种群上,以提供自动分类。

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