Automated content selection
    5.
    发明授权

    公开(公告)号:US10664483B2

    公开(公告)日:2020-05-26

    申请号:US15114395

    申请日:2014-01-30

    Abstract: Automated content selection is disclosed. An example method includes generating a plurality of rankings for each document in a set of input documents, each ranking based on separate interesting document properties. The method also includes selecting a subset of the set of input documents, wherein each document selected for the subset is based on rankings of the selected document. The method also includes determining interesting properties of the subset. The method also includes selecting a subset with respect to parameters being optimized. The method also includes outputting a composition including the documents in the subset.

    Learning Graph
    8.
    发明申请
    Learning Graph 审中-公开
    学习图

    公开(公告)号:US20170039297A1

    公开(公告)日:2017-02-09

    申请号:US15101879

    申请日:2013-12-29

    CPC classification number: G06F16/9024 G06F16/93 G06F17/21 G06N20/00

    Abstract: A learning graph is generated for documents according to a sequencing approach. The learning graph includes nodes corresponding to the documents and edges. Each edge connects two of the nodes and indicates a sequencing relationship between two of the documents to which the two of the nodes correspond that specifies an order in which the two of the documents are to be reviewed in satisfaction of the learning goal. The learning graph is a directed graph specifying a learning path through the documents to achieve a learning goal in relation to a subject.

    Abstract translation: 根据排序方法为文档生成学习图。 学习图包括对应于文档和边缘的节点。 每个边缘连接两个节点,并指示两个节点对应的两个文档之间的排序关系,指定两个文档的顺序,以满足学习目标的要求。 学习图是指定通过文档的学习路径以实现与主题相关的学习目标的有向图。

    Object recognition
    9.
    发明授权

    公开(公告)号:US11030436B2

    公开(公告)日:2021-06-08

    申请号:US16606171

    申请日:2017-04-27

    Abstract: A method of recognizing an object includes comparing a three-dimensional point cloud of the object to a three-dimensional candidate from a dataset to determine a first confidence score, and comparing color metrics of a two-dimensional image of the object to a two-dimensional candidate from the dataset to determine a second confidence score. The point cloud includes a color appearance calibrated from a white balance image, and the color appearance of the object is compared with the three-dimensional candidate. The first or second confidence score is selected to determine which of the three-dimensional candidate or the two-dimensional candidate corresponds with the object.

    GRAPHICAL RESPONSE GROUPING
    10.
    发明申请

    公开(公告)号:US20180285429A1

    公开(公告)日:2018-10-04

    申请号:US15764549

    申请日:2015-12-11

    Abstract: Examples associated with graphical response grouping are described. One example includes providing a query to a set of client devices. The query may request a graphical response from respective users of members of the set of client devices. A graphical response is received from the respective users via the client devices. The graphical responses are classified into groups based on graphical attributes of the graphical responses. Representative responses from the groups are provided to a supervisor.

Patent Agency Ranking