公开(公告)号：US20210374403A1

公开(公告)日：2021-12-02

申请号：US17286604

申请日：2018-12-21

Applicant: HITACHI HIGH-TECH CORPORATION

Inventor： Ryou YUMIBA ,  Yasutaka TOYODA ,  Hiroyuki SHINDO

IPC: G06K9/00 ,  G06K9/62 ,  G06N20/00

Abstract: In order to select an optimal learning model for an image when inference is carried out in the extraction of a profile line using machine learning, without requiring a correct value or degree of certainty, a feature extraction learning model group containing a plurality of learning models is used for feature extraction. A recall learning model group containing recall learning models is paired with the feature extraction learning models. A feature amount extraction unit for referencing a feature extraction learning model and extracting a feature amount from input data; a data-to-data recall unit for referencing a recall learning model and outputting a recall result with the feature amount subjected to dimensional compression; and a learning model selection unit for selecting a feature extraction learning model from the feature extraction learning model group under the condition that the difference between the feature amount and the recall result is minimized are provided.