CONFIGURING A TERMINAL DEVICE ACCORDING TO A CONTEXT DETERMINED BY CORRELATING DIFFERENT DATA SOURCES
    1.
    发明申请
    CONFIGURING A TERMINAL DEVICE ACCORDING TO A CONTEXT DETERMINED BY CORRELATING DIFFERENT DATA SOURCES 审中-公开
    根据不同数据源确定的终端配置终端设备

    公开(公告)号:WO2013169792A1

    公开(公告)日:2013-11-14

    申请号:PCT/US2013/039967

    申请日:2013-05-07

    CPC classification number: G06N5/02 H04M1/72563 H04M2250/12

    Abstract: Methods, systems, computer-readable media, and apparatuses for inferring context are provided. In one potential implementation, first context information associated with a first duration is identified, second context information is accessed to determine a context segmentation boundary; and the first context information and the second context information is then aggregated to generate an inferred segmented aggregated context. In a further implementation, the first context information is used to average inferred contexts, and the context segmentation boundary is used to reset a start time for averaging the first context information.

    Abstract translation: 提供了用于推断上下文的方法,系统,计算机可读介质和装置。 在一个潜在实现中,识别与第一持续时间相关联的第一上下文信息,访问第二上下文信息以确定上下文分段边界; 然后聚合第一上下文信息和第二上下文信息以生成推断的分段聚合上下文。 在进一步的实现中,第一上下文信息用于平均推断的上下文,并且使用上下文分段边界来重置用于平均第一上下文信息的开始时间。

    DISCOVERING AND AUTOMATICALLY SIZING A PLACE OF RELEVANCE
    2.
    发明公开
    DISCOVERING AND AUTOMATICALLY SIZING A PLACE OF RELEVANCE 审中-公开
    检测和有关的地方自动调整大小

    公开(公告)号:EP2761893A1

    公开(公告)日:2014-08-06

    申请号:EP12772654.5

    申请日:2012-09-27

    Abstract: One or more mobile devices make measurements while moving along a path. Each measurement may comprise a specific group of identifiers of wireless transmitters, and strengths of corresponding wireless signals. A set of measurements are made in a sequence along a path, and the subsets of the measurements are identified for satisfying a test on a value of a measure of similarity of measurements included in the subset. A new place of relevance is identified, by comparing the just-described subsets of the measurements with similar subsets of additional measurements (e.g. by clustering). Alternatively, a known place of relevance (e.g. having a label) is identified, by comparing the just-described subsets of the measurements with pre-computed model of measurements. Also, the just-described subsets of the measurements may be compared with corresponding subsets of measurements of another path, e.g. to identify common portions therein.

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