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    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB)
    72.
    发明申请
    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB) 审中-公开

    公开(公告)号：US20180365402A1

    公开(公告)日：2018-12-20

    申请号：US15967898

    申请日：2018-05-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Minsu KO ,  Seungju HAN ,  JaeJoon HAN ,  Deoksang KIM ,  Chang Kyu CHOI

    IPC: G06F21/32 ,  G06F17/30

    Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

    CONVOLUTIONAL NEURAL NETWORK (CNN) PROCESSING METHOD AND APPARATUS
    73.
    发明申请
    CONVOLUTIONAL NEURAL NETWORK (CNN) PROCESSING METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20180285715A1

    公开(公告)日：2018-10-04

    申请号：US15836988

    申请日：2017-12-11

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jinwoo SON ,  Changyong SON ,  Jaejoon HAN ,  Chang Kyu CHOI

    IPC: G06N3/04 ,  G06N3/08

    Abstract: Disclosed is a convolutional neural network (CNN) processing apparatus and method, the apparatus configured to determine a loading space unit for at least one loading space in an input based on a height or a width for an input feature map of the input and an extent of a dimension of a kernel feature map, load target input elements corresponding to a target loading space, among the at least one loading space, from a memory and store the target input elements in an allocated input buffer having a size corresponding to the loading space unit, and perform a convolution operation between the target input elements stored in the input buffer and at least one kernel element of a kernel.

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