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Abstract

A method for determining the similarity of objects pertaining to an embodiment uses a convolutional neural network (CNN) that includes one or more convolutional layers and a fully-connected layer to cause one or more computers to execute the following steps in response to said method being executed on said one or more computers: extracting a plurality of characteristic amounts from each of a plurality of objects; extracting output values of the fully-connected layer following the one or more convolutional layers of the convolutional neural network (CNN) on the basis of said plurality of characteristic amounts from each of said plurality of objects; performing conversion processing in which output values of the fully-connected layer serve as a range within a specific area, and extracting conversion output values; and distinguishing the similarity of objects on the basis of said conversion output values.

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