LEARNING DEVICE, LEARNING METHOD, AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20230143070A1

    公开(公告)日:2023-05-11

    申请号:US17619723

    申请日:2021-03-10

    CPC classification number: G06N20/00

    Abstract: A learning device (12) includes: an input unit (109) that inputs target data to be learned, class label information of the target data, and statistical property information of the target data; a feature amount extractor (110) that extracts a feature amount from the target data by using a parameter; a class classifier (111) that outputs a class classification inference result of the target data by statistical processing using the feature amount and a weight vector of each class; a loss calculation unit (112) that calculates a loss by using a loss function in which the class classification inference result and the class label information are taken as inputs; and a parameter correction unit (113) that corrects the weight vector of the class classifier (111) and the parameter of the feature amount extractor (110) in such a way as to reduce the loss, according to the statistical property information.

    NEURAL NETWORK RANK OPTIMIZATION DEVICE AND OPTIMIZATION METHOD

    公开(公告)号:US20210073633A1

    公开(公告)日:2021-03-11

    申请号:US16963377

    申请日:2018-10-24

    Abstract: A neural network rank optimization device includes tensor decomposition means 1 for performing tensor decomposition processing of tensor-decomposing a convolution filter included in a neural network for low rank approximation, and rank optimization means 2A for optimizing a rank used in the tensor decomposition means 1, wherein the rank optimization means includes evaluation amount calculation means 3 for calculating an evaluation amount representing the degree of the low rank approximation, and rank determination means 4 for determining a rank corresponding to the evaluation amount less than a predetermined threshold value as a desired rank.

    CUSTOMER ANALYSIS APPARATUS, CUSTOMER ANALYSIS METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20230080815A1

    公开(公告)日:2023-03-16

    申请号:US17801936

    申请日:2020-02-28

    Abstract: A customer analysis apparatus (10) includes an image acquisition unit (110) and an image processing unit (120). The image acquisition unit (110) acquires a first image generated by a first image capture unit (22) and a second image generated by a second image capture unit (24). The image processing unit (120) processes the first image and the second image. More specifically, the image processing unit (120) generates product information indicating a product (50) taken out from a product shelf (40), by processing the first image and the second image. Further, the image processing unit (120) generates customer attribute information of a customer taking out the product (50), by processing the first image. Then, the image processing unit (120) causes a result storage unit (130) to store the product information and the customer attribute information in association with each other.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY RECORDING MEDIUM

    公开(公告)号:US20250117464A1

    公开(公告)日:2025-04-10

    申请号:US18729982

    申请日:2022-03-16

    Abstract: An information processing apparatus includes: a first score acquisition unit that performs one-to-N verification by using target data acquired from a verification target and N pieces of registration data registered in advance, thereby acquiring a first matching score; and a second score acquisition unit that transforms the first matching score on the basis of an amount depending on a number of verifications N of the registration data, thereby acquiring a second matching score. According to such an information processing apparatus, it is possible to transform a score of the one-to-N verification into an appropriate value.

    IMAGE GENERATION SYSTEM, IMAGE GENERATION METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20240020873A1

    公开(公告)日:2024-01-18

    申请号:US18026479

    申请日:2020-09-25

    Abstract: An image generation system includes: a detection unit that detects a position information about a position of a face or a position of a feature point of the face from an image; an acquisition unit that obtains a perturbed position information that takes into account an error that occurs when the position information is detected, for the position information; and a generation unit that generates a new image including the face on the basis of the perturbed position information. According to such an image generation system, it is possible to properly generate a new image in view of the error in position estimation.

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