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    LEARNING METHOD AND RECORDING MEDIUM
    1.
    发明申请
    LEARNING METHOD AND RECORDING MEDIUM 有权
    学习方法和记录介质

    公开(公告)号：US20160260014A1

    公开(公告)日：2016-09-08

    申请号：US15053642

    申请日：2016-02-25

    Applicant: Panasonic Intellectual Property Management Co., Ltd.

    Inventor： REIKO HAGAWA ,  SOTARO TSUKIZAWA ,  YASUNORI ISHII

    IPC: G06N3/08 ,  G06K9/62

    CPC classification number: G06N3/08 ,  G06K7/1482 ,  G06K9/4628 ,  G06K9/6267 ,  G06K9/6281 ,  G06K9/6282 ,  G06N3/02 ,  G06N3/0454 ,  G06T2207/20081

    Abstract: Learning method includes performing a first process in which a coarse class classifier configured with a first neural network is made to classify a plurality of images given as a set of images each attached with a label indicating a detailed class into a plurality of coarse classes including a plurality of detailed classes and is then made to learn a first feature that is a feature common in each of the coarse classes, and performing a second process in which a detailed class classifier, configured with a second neural network that is the same in terms of layers other than the final layer as but different in terms of the final layer from the first neural network made to perform the learning in the first process, is made to classify the set of images into detailed classes and learn a second feature of each detailed class.

    Abstract translation: 学习方法包括执行第一处理，其中配置有第一神经网络的粗类分类器被分类为以图像集合给出的多个图像，每个图像附加有指示详细类别的标签为多个粗类，包括 多个详细类，然后被做成学习作为每个粗类中共同的特征的第一特征，并且执行第二处理，其中配置有第二神经网络的详细类分类器在第 将最终层以外的层作为第一神经网络的最终层而不是第一神经网络，以在第一过程中执行学习进行分类，以将该组图像分类为详细类并学习每个详细类的第二特征 。

    IMAGE RECOGNITION METHOD, IMAGE RECOGNITION DEVICE, AND RECORDING MEDIUM
    3.
    发明申请
    IMAGE RECOGNITION METHOD, IMAGE RECOGNITION DEVICE, AND RECORDING MEDIUM 有权
    图像识别方法，图像识别装置和记录介质

    公开(公告)号：US20160259995A1

    公开(公告)日：2016-09-08

    申请号：US15049149

    申请日：2016-02-22

    Applicant: Panasonic Intellectual Property Management Co., Ltd.

    Inventor： YASUNORI ISHII ,  SOTARO TSUKIZAWA ,  REIKO HAGAWA

    IPC: G06K9/62 ,  G06N3/08 ,  G06K9/46

    CPC classification number: G06K9/6267 ,  G06K9/46 ,  G06K9/4628 ,  G06K9/6256 ,  G06K9/6274 ,  G06N3/0454 ,  G06N3/08

    Abstract: An image recognition method includes: receiving an image; acquiring processing result information including values of processing results of convolution processing at positions of a plurality of pixels that constitute the image by performing the convolution processing on the image by using different convolution filters; determining 1 feature for each of the positions of the plurality of pixels on the basis of the values of the processing results of the convolution processing at the positions of the plurality of pixels included in the processing result information and outputting the determined feature for each of the positions of the plurality of pixels; performing recognition processing on the basis of the determined feature for each of the positions of the plurality of pixels; and outputting recognition processing result information obtained by performing the recognition processing.

    Abstract translation: 一种图像识别方法，包括：接收图像; 通过使用不同的卷积滤波器对所述图像执行卷积处理来获取包括在构成图像的多个像素的位置处的卷积处理的处理结果的值的处理结果信息; 基于处理结果信息中包括的多个像素的位置处的卷积处理的处理结果的值，确定多个像素中的每个位置的1个特征，并输出所确定的特征 所述多个像素的位置; 基于针对所述多个像素的每个位置的所确定的特征执行识别处理; 并输出通过执行识别处理获得的识别处理结果信息。

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