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    • 1. 发明申请
    • USING AN ELEMENT IN A FIRST MODEL TO CALL A PORTION OF A SECOND MODEL
    • 在第一个模型中使用元素来呼叫第二模型的一部分
    • WO2015175908A2
    • 2015-11-19
    • PCT/US2015/031029
    • 2015-05-15
    • THE MATHWORKS, INC.
    • ENGLEHART, Matthew J.AVADHANULA, SrinathPILLARISETTI, AravindGUNASEELAN, NirmalSZPAK, Peter, S.SIMSEK, Hidayet, T.
    • G06F9/54
    • G06F17/5009G06F8/34G06F8/35G06F9/541G06F17/15
    • A device may receive function information that describes a caller element that calls a called element that is separate from the caller element. The function information may identify a name or reference of the called element, a passed input, and a passed output. The passed input may be provided by the caller element to the called element, and the passed output may be received by the caller element from the called element. The caller element may be associated with a caller model, and the called element may be associated with a called model. The device may identify the called element, and may execute the caller element in a simulation environment. Execution of the caller element may cause execution of the called element without causing execution of an entirety of the called model. The device may receive the passed output from the called element based on executing the called element.
    • 设备可以接收描述调用与呼叫者元素分离的被叫元素的呼叫者元素的功能信息。 功能信息可以标识被叫元素的名称或引用,传递的输入和传递的输出。 传递的输入可以由调用者元素提供给被调用元素,并且传递的输出可以被调用者元素从被调用元件接收。 调用者元素可以与调用者模型相关联,并且被调用元素可以与被调用的模型相关联。 设备可以识别被叫元素,并且可以在模拟环境中执行呼叫者元素。 调用者元素的执行可能导致被调用元素的执行,而不会导致执行整个被调用的模型。 该设备可以基于执行被调用元件从被调用元件接收传递的输出。
    • 2. 发明申请
    • ASSOCIATING CLASSIFICATIONS WITH IMAGES
    • 与图像相关的分类
    • WO2014186483A1
    • 2014-11-20
    • PCT/US2014/038025
    • 2014-05-15
    • GOOGLE INC.
    • KULICK, MatthewADAM, HartwigLEE, TaeheePOTETZ, Brian
    • G06F17/30
    • G06K9/6267G06F17/30247G06F17/3028
    • One or more devices may receive multiple images; determine one or more classifications for each of the multiple images; generate a confidence score for each classification of the one or more classifications for each of the multiple images. The confidence score may include a value between two numbers and may identify the likelihood that that a particular classification, of the one or more classifications, correctly corresponds to a particular image, of the multiple images. The confidence score may be based on information, associated with a user, and pixel-based classification information. The one or more devices may sort the multiple images by the one or more classifications and by corresponding confidence scores to form sorted multiple images; and provide the sorted multiple images.
    • 一个或多个设备可以接收多个图像; 确定多个图像中的每一个的一个或多个分类; 为每个多个图像的一个或多个分类的每个分类生成置信度分数。 置信度分数可以包括两个数之间的值,并且可以识别多个图像中的一个或多个分类的特定分类正确对应于特定图像的可能性。 可信度分数可以基于与用户相关联的信息和基于像素的分类信息。 一个或多个设备可以通过一个或多个分类和相应的置信分数对多个图像进行分类,以形成分类的多个图像; 并提供排序的多个图像。