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    MODEL BUILDING APPARATUS, MODEL BUILDING METHOD, COMPUTER PROGRAM AND RECORDING MEDIUM
    2.
    发明申请
    MODEL BUILDING APPARATUS, MODEL BUILDING METHOD, COMPUTER PROGRAM AND RECORDING MEDIUM 有权

    公开(公告)号：US20220121991A1

    公开(公告)日：2022-04-21

    申请号：US17429789

    申请日：2019-02-12

    Applicant: NEC Corporation

    Inventor： Kazuya Kakizaki ,  Kosuke Yoshida

    IPC: G06N20/00

    Abstract: A model building apparatus includes: a building unit that builds a generation model that outputs an adversarial example, which causes misclassification by a learned model, when a source sample is entered into the generation model; and a calculating unit that calculates a first evaluation value and a second evaluation value, wherein the first evaluation value is smaller as a difference is smaller between an actual visual feature of the adversarial example outputted from the generation model and a target visual feature of the adversarial example that are set to be different from a visual feature of the source sample, and the second evaluation value is smaller as there is a higher possibility that the learned model misclassifies the adversarial example outputted from the generation model. The building unit builds the generation model by updating the generation model such that an index value based on the first and second evaluation values is smaller.

    Model building apparatus, model building method, computer program and recording medium
    3.
    发明授权
    Model building apparatus, model building method, computer program and recording medium 有权

    公开(公告)号：US12190239B2

    公开(公告)日：2025-01-07

    申请号：US17429789

    申请日：2019-02-12

    Applicant: NEC Corporation

    Inventor： Kazuya Kakizaki ,  Kosuke Yoshida

    IPC: G06N3/08 ,  G06F18/2413 ,  G06F21/36

    Abstract: A model building apparatus includes: a building unit that builds a generation model that outputs an adversarial example, which causes misclassification by a learned model, when a source sample is entered into the generation model; and a calculating unit that calculates a first evaluation value and a second evaluation value, wherein the first evaluation value is smaller as a difference is smaller between an actual visual feature of the adversarial example outputted from the generation model and a target visual feature of the adversarial example that are set to be different from a visual feature of the source sample, and the second evaluation value is smaller as there is a higher possibility that the learned model misclassifies the adversarial example outputted from the generation model. The building unit builds the generation model by updating the generation model such that an index value based on the first and second evaluation values is smaller.

    Abnormality detection apparatus, abnormality detection system, and learning apparatus, and methods for the same and non-temporary computer-readable medium storing the same
    4.
    发明授权
    Abnormality detection apparatus, abnormality detection system, and learning apparatus, and methods for the same and non-temporary computer-readable medium storing the same 有权

    公开(公告)号：US11989013B2

    公开(公告)日：2024-05-21

    申请号：US17421521

    申请日：2019-01-18

    Applicant: NEC Corporation

    Inventor： Kosuke Yoshida

    IPC: G05B23/02 ,  G06F18/2132 ,  G06N3/04

    CPC classification number: G05B23/0221 ,  G06F18/2132 ,  G06N3/04

    Abstract: An abnormality detection apparatus (200) includes storage means (210) for storing a learned self-encoder (211) including predetermined number of two or more of elements as input layers, extraction means (220) for extracting a target data group of a predetermined period including data pieces from time series data measured by one or more sensors, the number of the data pieces being the predetermined number, conversion means (230) for converting the target data group into multi-dimensional vector data including the predetermined number of elements, identifying means (240) for identifying a time period in which there may be a cause of an abnormality from the predetermined period based on a difference between output vector data having the predetermined number of elements obtained by inputting the multi-dimensional vector data to the self-encoder (211) and the multi-dimensional vector data, and output means (250) for outputting abnormality detection information including the identified time period.

    Information processing apparatus, control method, and program
    5.
    发明授权
    Information processing apparatus, control method, and program 有权

    公开(公告)号：US11899793B2

    公开(公告)日：2024-02-13

    申请号：US16976311

    申请日：2018-03-01

    Applicant: NEC CORPORATION

    Inventor： Kazuhiko Isoyama ,  Yoshiaki Sakae ,  Jun Nishioka ,  Etsuko Ichihara ,  Kosuke Yoshida

    IPC: G06F21/56

    CPC classification number: G06F21/566 ,  G06F2221/034

    Abstract: An information processing apparatus (2000) classifies each event that occurred in a target apparatus to be determined (10) either as an event (event of a first class) that also occurs in a standard apparatus (20) or as an event (event of a second class) that does not occur in the standard apparatus (20). Herein, a first model used for a determination with respect to an event that also occurs in the standard apparatus (20) and a second model used for a determination with respect to an event that does not occur in the standard apparatus (20) are used as models for determining whether an event that occurs in a target apparatus to be determined (10) is a target for warning. The information processing apparatus (2000) performs learning of the first model using an event of the first class. Further, the information processing apparatus (2000) performs learning of the second model using an event of the second class.

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