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公开(公告)号:US20190122081A1
公开(公告)日:2019-04-25
申请号:US15798237
申请日:2017-10-30
Inventor: Jinwoo SHIN , Kimin LEE
Abstract: Disclosed herein are a confident deep learning ensemble method and apparatus based on specialization. In one aspect, a confident deep learning ensemble method based on specialization proposed by the present invention includes the steps of generating a target function of maximizing entropy by minimizing Kullback-Leibler divergence with a uniform distribution with respect to the not-classified data of models for image processing and generating general features by sharing features between the models and performing learning for image processing using the general features.