MACHINE LEARNING DEVICE
    36.
    发明申请

    公开(公告)号:US20190251471A1

    公开(公告)日:2019-08-15

    申请号:US16308328

    申请日:2016-11-01

    申请人: HITACHI, LTD.

    摘要: An object is to provide a machine learning device that can reliably and promptly improve image classification accuracy. A machine learning device of the present invention includes: an image database that stores a plurality of images and image features of these images; and a processor that is connected to this image database and that performs machine learning using the plurality of images and the image features stored in the image database, and the processor preferentially selects a predetermined number of images that are images other than images used in past machine learning and that have the low similarities to the images used in the past machine learning, as images used for machine learning from among the images stored in the image database, and performs new machine learning using the selected images.

    CLASSIFICATION APPARATUS, CLASSIFICATION METHOD, AND PROGRAM

    公开(公告)号:US20190244101A1

    公开(公告)日:2019-08-08

    申请号:US16386431

    申请日:2019-04-17

    申请人: OMRON Corporation

    发明人: Tanichi ANDO

    IPC分类号: G06N3/08 G06N3/067

    摘要: A classification apparatus includes: a specifying unit integrated with a neural network that has been trained to classify a state of a space using information indicating a light projection pattern and information indicating a light reception pattern; a light projection information acquisition unit configured to acquire information indicating a light projection pattern of light projected into a predetermined space, and output the acquired information to the specifying unit; and a light receiving unit configured to acquire information indicating a light reception pattern of light received from the predetermined space, and output the acquired information to the specifying unit, wherein the specifying unit outputs a classification result of classifying a state of the predetermined space, based on the information indicating the light projection pattern acquired by the light projection information acquisition unit and on the information indicating the light reception pattern of the light received by the light receiving unit.