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    TECHNIQUES FOR MEASURING A PROPERTY OF INTEREST IN A DATASET OF LOCATION SAMPLES
    3.
    发明申请
    TECHNIQUES FOR MEASURING A PROPERTY OF INTEREST IN A DATASET OF LOCATION SAMPLES 审中-公开
    用于测量位置样本数据中的利益属性的技术

    公开(公告)号：US20170052960A1

    公开(公告)日：2017-02-23

    申请号：US15241928

    申请日：2016-08-19

    Applicant: Skyhook Wireless, Inc.

    Inventor： Farshid Alizadeh-Shabdiz ,  Javier Velez

    IPC: G06F17/30

    CPC classification number: G06F16/285

    Abstract: In one example embodiment, an analysis application implements a technique for measuring a property of interest of an input dataset of location samples. The analysis application may process the input dataset in one or more multi-stage pipelines to produce values that measure a metric for the input dataset. The values that measure the metric for the input dataset may be compared with values that measure the metric for one or more labeled datasets that are generated by the analysis application, for example, using a feedback loop and sampling from a plurality of delta data sets. Each labeled datasets may have different values that measure the metric and corresponding measures of the property of interest. Based on the comparison, the analysis application may determine the measure of the property of interest for the input dataset and such measure may be returned, for example, to a remote device.

    Abstract translation: 在一个示例实施例中，分析应用实现了用于测量位置样本的输入数据集的感兴趣的属性的技术。 分析应用程序可以处理一个或多个多级流水线中的输入数据集，以产生测量输入数据集的度量值。 可以将测量输入数据集的度量的值与测量由分析应用生成的一个或多个标记数据集的度量的值进行比较，例如使用反馈回路和来自多个增量数据集的采样。 每个标记的数据集可以具有不同的值，其测量度量和感兴趣的属性的对应度量。 基于比较，分析应用可以确定输入数据集的感兴趣的属性的度量，并且可以将这样的度量返回到例如远程设备。

    Techniques for measuring a property of interest in a dataset of location samples
    4.
    发明授权
    Techniques for measuring a property of interest in a dataset of location samples 有权

    公开(公告)号：US10902025B2

    公开(公告)日：2021-01-26

    申请号：US15241928

    申请日：2016-08-19

    Applicant: Skyhook Wireless, Inc.

    Inventor： Farshid Alizadeh-Shabdiz ,  Javier Velez

    IPC: G06F7/02 ,  G06F16/00 ,  G06F16/28 ,  G06F16/2457

    Abstract: In one example embodiment, an analysis application implements a technique for measuring a property of interest of an input dataset of location samples. The analysis application may process the input dataset in one or more multi-stage pipelines to produce values that measure a metric for the input dataset. The values that measure the metric for the input dataset may be compared with values that measure the metric for one or more labeled datasets that are generated by the analysis application, for example, using a feedback loop and sampling from a plurality of delta data sets. Each labeled datasets may have different values that measure the metric and corresponding measures of the property of interest. Based on the comparison, the analysis application may determine the measure of the property of interest for the input dataset and such measure may be returned, for example, to a remote device.

    Techniques for determining whether a mobile device is inside or outside a zone of a venue
    5.
    发明授权
    Techniques for determining whether a mobile device is inside or outside a zone of a venue 有权

    公开(公告)号：US10681511B1

    公开(公告)日：2020-06-09

    申请号：US15803409

    申请日：2017-11-03

    Applicant: Skyhook Wireless, Inc.

    Inventor： Farshid Alizadeh-Shabdiz ,  Russel K. Jones ,  Javier Velez

    IPC: H04W24/00 ,  H04W4/30 ,  G01S5/02 ,  H04W4/02 ,  H04W4/029

    Abstract: In various embodiments, techniques are provided for determining one or more zones in which mobile devices are presently located and identifying or updating characteristics of on or more zones. Samples that include beacon information and/or sensor information collected by mobile devices are aggregated and dynamically organized into sample classes that are associated with zero, one or more zones. A venue is characterized by a set of zones and associated tags, which may be informed based on samples for the venue, a venue group to which the venue belongs, or all venues. To determine if a mobile device is located in one or more zones, the samples are compared to zone characteristics, and based thereon (and optionally history information) one or more zones are selected having determined likelihoods, and at least a zone having the highest likelihood of the one or more selected zones is returned.

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