SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR SEGMENTATION USING KNOWLEDGE TRANSFER BASED MACHINE LEARNING TECHNIQUES

    公开(公告)号:WO2023287970A1

    公开(公告)日:2023-01-19

    申请号:PCT/US2022/037106

    申请日:2022-07-14

    IPC分类号: G06N3/08

    摘要: Provided is a system for segmenting large scale datasets according to machine learning models based on transfer learning that includes at least one processor programmed or configured to train a base machine learning model using a training dataset to generate a trained machine learning model, evaluate the trained machine learning model using an evaluation dataset, wherein, when evaluating the trained machine learning model using the evaluation dataset, the at least one processor is programmed or configured to generate a confidence score for each data instance of the evaluation dataset with the trained machine learning model, augment the evaluation dataset based on the confidence score for each data instance of the evaluation dataset to generate an augmented evaluation dataset, and retrain the trained machine learning model using the augmented evaluation dataset to generate a final machine learning model. Methods and computer program products are also provided.

    SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR EVOLUTIONARY LEARNING IN VERIFICATION TEMPLATE MATCHING DURING BIOMETRIC AUTHENTICATION

    公开(公告)号:WO2022125157A1

    公开(公告)日:2022-06-16

    申请号:PCT/US2021/047706

    申请日:2021-08-26

    IPC分类号: G06N20/00 G06K9/00 G06F21/32

    摘要: Provided are systems for authenticating an individual using image feature templates that include at least one processor to train a first machine learning model based on a training dataset of a plurality of images of a user, generate a plurality of image feature templates using the first machine learning model, wherein each image feature template of the plurality of image feature templates is associated with a positive authentication of the identity of the user during a time interval, generate a second machine learning model based on the plurality of image feature templates, generate a predicted image feature template using the second machine learning model, determine whether to authenticate the identity of the user based on an input image of the user, and perform an action based on determining whether to authenticate the identity of the user. Methods and computer program products are also provided.