利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

10778 条记录 (耗时 0.036 秒)

    INFORMATION PROCESSING DEVICE, METHOD FOR OPERATING INFORMATION PROCESSING DEVICE, OPERATION PROGRAM FOR INFORMATION PROCESSING DEVICE, METHOD FOR GENERATING CALIBRATED STATE PREDICTION MODEL, AND CALIBRATED STATE PREDICTION MODEL
    13.
    发明公开
    INFORMATION PROCESSING DEVICE, METHOD FOR OPERATING INFORMATION PROCESSING DEVICE, OPERATION PROGRAM FOR INFORMATION PROCESSING DEVICE, METHOD FOR GENERATING CALIBRATED STATE PREDICTION MODEL, AND CALIBRATED STATE PREDICTION MODEL 审中-公开

    公开(公告)号：EP4439053A1

    公开(公告)日：2024-10-02

    申请号：EP22895301.4

    申请日：2022-10-14

    申请人： FUJIFILM Corporation

    发明人： SUGITA, Yui

    IPC分类号： G01N21/65 ,  C12M1/34 ,  C12M3/00 ,  G01N33/483 ,  G06N3/02 ,  G06N20/00

    CPC分类号： C12M1/34 ,  C12M3/00 ,  G01N21/65 ,  G01N33/483 ,  G06N3/02 ,  G06N20/00 ,  G01N2201/129620130101

    摘要： An information processing apparatus is an information processing apparatus that predicts a state of a component in a suspension in which biological molecules are dispersed as the components in a liquid, based on spectrum measurement data obtained by measuring a spectrum of electromagnetic waves emitted from the suspension, the information processing apparatus including: a processor, in which the processor uses a calibrated state predictive model calibrated by using at least two types of calibration data of first calibration data and second calibration data, the first calibration data including first spectrum measurement data, which is the spectrum measurement data obtained from a first suspension containing a first component, and first component relation information related to the first component as explanatory variables, and including first state relation information related to a state of the first component as a response variable, and the second calibration data including second spectrum measurement data, which is the spectrum measurement data obtained from a second suspension containing a second component, and second component relation information related to the second component as explanatory variables, and including second state relation information related to a state of the second component as a response variable, acquires target component relation information related to a target component, which is a target of which the state is predicted, and target spectrum measurement data, which is the spectrum measurement data obtained from a target suspension containing the target component, and applies the target component relation information and the target spectrum measurement data to the calibrated state predictive model, and causes the calibrated state predictive model to output a target state prediction result obtained by predicting the state of the target component in the target suspension.

    LEARNING METHOD, LEARNING DEVICE, LEARNING PROGRAM, AND IMAGE PROCESSING DEVICE
    15.
    发明公开
    LEARNING METHOD, LEARNING DEVICE, LEARNING PROGRAM, AND IMAGE PROCESSING DEVICE 审中-实审

    公开(公告)号：EP4432218A1

    公开(公告)日：2024-09-18

    申请号：EP22892401.5

    申请日：2022-09-12

    申请人： FUJIFILM Corporation

    发明人： IKEDA, Haruka

    IPC分类号： G06T7/00 ,  G06N3/08

    CPC分类号： G06T7/00 ,  G06N3/08

    摘要： An aspect of the present invention provides a learning method, a learning apparatus, a learning program, and an image processing apparatus. An aspect of the present invention relates to a learning method executed by a learning apparatus including a processor, the learning method including: causing the processor to execute: a data acquisition step of acquiring learning data consisting of a pair of a patch image and correct answer data of a class label for a unit region of the patch image; a determination step of performing segmentation of the patch image by using a learning model and the learning data, and determining, for each patch image, whether or not a second unit region is correctly detected by the learning model; a weighting step of setting a first weight in learning based on a result of the determination; and an update step of updating the learning model based on a result of the weighting.

    IMAGE LEARNING DEVICE AND IMAGE LEARNING METHOD
    17.
    发明公开
    IMAGE LEARNING DEVICE AND IMAGE LEARNING METHOD 审中-实审

    公开(公告)号：EP4421737A3

    公开(公告)日：2024-09-04

    申请号：EP24159494.4

    申请日：2024-02-23

    申请人： FUJIFILM Corporation

    发明人： HIGA, Katsuyuki

    IPC分类号： G06T7/50

    CPC分类号： G06T7/50 ,  G06T2207/2008120130101 ,  G06T2207/1006820130101 ,  G06T2207/3009220130101

    摘要： Provided are an image learning device (11) and an image learning method capable of learning distance estimation by using sparse actual distance data as ground truth data in distance estimation for an observation image (40).
    An image learning device that acquires at least one observation image (40) obtained by imaging an observation target with an image sensor, calculates, for the observation image (40), an estimated distance to the observation target for each of a plurality of locations within an imaging range of the image sensor by using a distance estimation parameter, and updates the distance estimation parameter based on a difference between an actual distance obtained by measuring a distance to the observation target and the estimated distance for at least one location within the imaging range, and the like are used.

    IMAGE LEARNING DEVICE AND IMAGE LEARNING METHOD
    19.
    发明公开
    IMAGE LEARNING DEVICE AND IMAGE LEARNING METHOD 审中-实审

    公开(公告)号：EP4421737A2

    公开(公告)日：2024-08-28

    申请号：EP24159494.4

    申请日：2024-02-23

    申请人： FUJIFILM Corporation

    发明人： HIGA, Katsuyuki

    IPC分类号： G06T7/50

    CPC分类号： G06T7/50 ,  G06T2207/2008120130101 ,  G06T2207/1006820130101 ,  G06T2207/3009220130101

    摘要： Provided are an image learning device (11) and an image learning method capable of learning distance estimation by using sparse actual distance data as ground truth data in distance estimation for an observation image (40).
    An image learning device that acquires at least one observation image (40) obtained by imaging an observation target with an image sensor, calculates, for the observation image (40), an estimated distance to the observation target for each of a plurality of locations within an imaging range of the image sensor by using a distance estimation parameter, and updates the distance estimation parameter based on a difference between an actual distance obtained by measuring a distance to the observation target and the estimated distance for at least one location within the imaging range, and the like are used.