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    Updating geographic data based on a transaction
    1.
    发明授权
    Updating geographic data based on a transaction 有权
    基于事务更新地理数据

    公开(公告)号：US08868522B1

    公开(公告)日：2014-10-21

    申请号：US13691532

    申请日：2012-11-30

    Applicant: Google Inc.

    Inventor： Marco Zennaro ,  Kong Man Cheung ,  Julian Ibarz ,  Liron Yatziv ,  Sacha Christophe Arnoud

    IPC: G06F17/30

    CPC classification number: G06F17/30241

    Abstract: Systems and methods for updating geographic data based on a transaction are provided. In some aspects, one or more transaction records associated with a business are accessed from a memory. Each transaction record identifies a transaction time, geographic location data, and transaction information. A geocoded record of the business is selected to update, based on the geographic location data of the one or more transaction records. The selected geocoded record is updated based on at least one of the transaction time or the transaction information identified in the transaction records.

    Abstract translation: 提供了基于事务更新地理数据的系统和方法。 在一些方面，与业务相关联的一个或多个事务记录从存储器访问。 每个交易记录标识交易时间，地理位置数据和交易信息。 根据一个或多个交易记录的地理位置数据，选择业务的地理编码记录来更新。 基于交易记录中识别的交易时间或交易信息中的至少一个来更新所选择的地理编码记录。

    BUSINESS DISCOVERY FROM IMAGERY
    2.
    发明申请
    BUSINESS DISCOVERY FROM IMAGERY 有权
    图像业务发现

    公开(公告)号：US20170039457A1

    公开(公告)日：2017-02-09

    申请号：US14821128

    申请日：2015-08-07

    Applicant: Google Inc.

    Inventor： Qian Yu ,  Liron Yatziv ,  Martin Christian Stumpe ,  Vinay Damodar Shet ,  Christian Szegedy ,  Dumitru Erhan ,  Sacha Christophe Arnoud

    IPC: G06K9/66 ,  G06N3/08 ,  G06K9/62

    CPC classification number: G06K9/66 ,  G06K9/3258 ,  G06K9/4628 ,  G06K9/6201 ,  G06K9/6256 ,  G06K9/6277 ,  G06N3/02 ,  G06N3/08

    Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.

    Abstract translation: 本公开的方面涉及一种方法，包括使用训练图像和识别训练图像中的一个或多个商业店面位置的数据来训练深层神经网络。 深层神经网络在每个图像上输出紧密的边界框。 在深神经网络中，可以接收第一图像。 可以使用深层神经网络来评估第一图像。 然后可以生成标识框，识别第一图像中的商店店面位置。

    Computerized CAPTCHA Systems Using A Direct Connection With User Computing Device
    6.
    发明申请
    Computerized CAPTCHA Systems Using A Direct Connection With User Computing Device 审中-公开
    使用与用户计算设备直接连接的计算机化CAPTCHA系统

    公开(公告)号：US20160048662A1

    公开(公告)日：2016-02-18

    申请号：US14187984

    申请日：2014-02-24

    Applicant: Google Inc.

    Inventor： Sacha Christophe Arnoud ,  Angelique Moscicki ,  Edison Tan ,  David John Abraham ,  Michael Crawford

    IPC: G06F21/31

    CPC classification number: G06F21/31 ,  G06F2221/2133

    Abstract: Computerized CAPTCHA systems using a direct connection with user computing devices are provided. An example computerized CAPTCHA system is configured to perform operations. The operations include receiving a request from a user computing device to engage in a verification process. The request is received independent of a resource provider from which the user computing device has requested a resource. The operations include providing a challenge to the user computing device at least in part in response to the request for engagement in the verification process and receiving a response to the challenge from the user computing device. The operations include determining whether the user computing device should be verified based at least in part on the response and providing a verification token to the user computing device when it is determined that the user computing device should be verified.

    Abstract translation: 提供使用与用户计算设备直接连接的计算机化CAPTCHA系统。 计算机化CAPTCHA系统的示例被配置为执行操作。 操作包括从用户计算设备接收参与验证过程的请求。 独立于用户计算设备从其请求资源的资源提供者接收该请求。 这些操作包括至少部分地响应于参与验证过程的请求并且从用户计算设备接收对挑战的响应来向用户计算设备提供挑战。 操作包括确定用户计算设备是否应当至少部分地基于响应被验证，并且当确定要验证用户计算设备时，向用户计算设备提供验证令牌。

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