Video content claiming classifier
    81.
    发明授权
    Video content claiming classifier 有权
    视频内容声明分类器

    公开(公告)号:US09098807B1

    公开(公告)日:2015-08-04

    申请号:US14206685

    申请日:2014-03-12

    Applicant: Google Inc.

    CPC classification number: G06N5/022 G06Q30/0201 G06Q30/0241 G06Q30/0251

    Abstract: A video hosting service comprising video classifiers that identify content sources of content included in videos uploaded to the video hosting service. Identifying the content source allows a content owner of the content source to claim ownership of videos that include content based on the content source. Usage policies associated with the content owners are applied to the uploaded videos that describe how the video hosting service is to treat the videos.

    Abstract translation: 一种视频托管服务,包括视频分类器,其识别上传到视频托管服务的视频中的内容的内容源。 识别内容源允许内容来源的内容所有者声称基于内容源包含内容的视频的所有权。 与内容所有者相关联的使用政策适用于上传的视频,描述视频托管服务如何对待视频。

    Medical diagnostic supporting apparatus
    84.
    发明授权
    Medical diagnostic supporting apparatus 有权
    医疗诊断配套设备

    公开(公告)号:US08949171B2

    公开(公告)日:2015-02-03

    申请号:US12973780

    申请日:2010-12-20

    Inventor: Masami Kawagishi

    CPC classification number: G06N7/005 G06F19/00 G06F19/321 G16H50/20

    Abstract: A medical diagnostic supporting apparatus inputs a medical image to be a target of a medical diagnosis, acquires one or more pieces of medical information relating to the medical image as entered information, and acquires an image feature amount from the medical image. The medical diagnostic supporting apparatus selects a plurality of pieces of not-entered information associated with the acquired image feature amount from not-entered information that is medical information other than the entered information as presented not-entered information candidates that are candidates for presentation, and selects presented not-entered information from the presented not-entered information candidates based on a plurality of inference results acquired using the entered information and each of the presented not-entered information candidates. The medical diagnostic supporting apparatus presents the selected presented not-entered information to a doctor.

    Abstract translation: 医疗诊断支援装置输入作为医疗诊断对象的医学图像,取得与医用图像有关的一条或多条医疗信息作为输入信息,从医学图像获取图像特征量。 医疗用诊断辅助装置从未输入的信息中选择与所获取的图像特征量相关联的多条未输入信息,该未输入信息是作为呈现的未输入信息候选者的输入信息以外的医疗信息,以及 基于使用输入的信息获取的多个推理结果和所呈现的未输入的信息候选中的每一个,从所提供的未输入的信息候选中选择未被输入的信息。 医疗诊断支持装置向医生呈现所选择的未被输入的信息。

    Method and system for determining a track of an object through a multi-dimensional space
    85.
    发明授权
    Method and system for determining a track of an object through a multi-dimensional space 有权
    通过多维空间确定物体轨迹的方法和系统

    公开(公告)号:US08909586B2

    公开(公告)日:2014-12-09

    申请号:US13612375

    申请日:2012-09-12

    CPC classification number: G06N7/02 B64G3/00

    Abstract: Embodiments of the present invention characterizing the uncertainty of the orbital state of an Earth-orbiting space object hereof using a Gauss von Mises probability density function defined on the n+1 dimensional cylindrical manifold n×. Additionally, embodiments of the present invention can include transforming a Gauss von Mises distribution under a diffeomorphism and approximating the output as a Gauss von Mises distribution. Embodiments of the present invention can also include fusing a prior state represented by a Gauss von Mises distribution with an update report, wherein the update can be either another Gauss von Mises distribution of the same dimension as the prior or an observation related to the prior by a stochastic measurement model. A Gauss von Mises distribution can be calculated from a plurality of reports, wherein the reports are either Gauss von Mises distributions or observations related to the state space by a stochastic measurement model.

    Abstract translation: 本发明的实施例使用在n + 1维圆柱形歧管n×上定义的高斯冯·米塞斯概率密度函数来表征本地轨道空间物体的轨道状态的不确定性。 另外,本发明的实施例可以包括在差异变换下变换高斯冯米塞斯分布,并将输出近似为高斯冯米塞斯分布。 本发明的实施例还可以包括将由Gauss von Mises分布表示的先前状态与更新报告进行融合,其中更新可以是与之前相关的另一个高斯冯米塞斯分布或与先前相关的观察 随机测量模型。 高斯冯米塞斯分布可以从多个报告中计算,其中报告是高斯冯米塞斯分布或随机测量模型与状态空间相关的观测值。

    Admission control in cloud databases under service level agreements
    86.
    发明授权
    Admission control in cloud databases under service level agreements 有权
    根据服务级别协议在云数据库中进行接纳控制

    公开(公告)号:US08768875B2

    公开(公告)日:2014-07-01

    申请号:US13251215

    申请日:2011-10-01

    CPC classification number: G06Q10/06316 G06Q10/0633 G06Q30/01

    Abstract: An admission control system for a cloud database includes a machine learning prediction module to estimate a predicted probability for a newly arrived query with a deadline, if admitted into the cloud database, to finish its execution before said deadline, wherein the prediction considers query characteristics and current system conditions. The system also includes a decision module applying the predicted probability to admit a query into the cloud database with a target of profit maximization with an expected profit determined using one or more service level agreements (SLAs).

    Abstract translation: 用于云数据库的准入控制系统包括:机器学习预测模块,用于在所述截止期限之前估计具有截止日期的新到达查询的预测概率(如果被允许进入云数据库)以完成其执行,其中所述预测考虑查询特性, 当前系统条件。 该系统还包括一个决策模块,将预测的概率应用于使用一个或多个服务水平协议(SLA)确定的预期利润的利润最大化目标的云数据库中进行查询。

    Asset surveillance method and system comprising a dynamic model framework
    87.
    发明授权
    Asset surveillance method and system comprising a dynamic model framework 有权
    资产监控方法和系统包括动态模型框架

    公开(公告)号:US08682835B1

    公开(公告)日:2014-03-25

    申请号:US12002104

    申请日:2007-12-14

    CPC classification number: G06F11/0751 G05B23/021 G06F11/0706

    Abstract: Asset surveillance method and system used in combination with a computer and memory for determining the condition of an asset using dynamically-selected estimation models for determining estimated data values in combination with dynamically-selected comparison models to more reliably determine the condition of the asset and to additionally determine the cause for any determined fault condition.

    Abstract translation: 使用与计算机和存储器结合使用的资产监视方法和系统,用于使用动态选择的估计模型来确定估计数据值并结合动态选择的比较模型来确定资产的状况,以更可靠地确定资产的状况,并且 另外确定任何确定的故障状况的原因。

    Space-time-nodal type signal processing
    88.
    发明授权
    Space-time-nodal type signal processing 有权
    时空节点型信号处理

    公开(公告)号:US08676743B2

    公开(公告)日:2014-03-18

    申请号:US13280313

    申请日:2011-10-24

    Applicant: Krishna Kumar

    Inventor: Krishna Kumar

    CPC classification number: G06F17/30336 H04L67/12

    Abstract: Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices or platforms to facilitate or otherwise support one or more processes or operations associated with a space-time-node engine signal processing.

    Abstract translation: 公开了可以使用一个或多个计算设备或平台来实现示例性方法,设备或制品,以便于或以其他方式支持与时空节点引擎信号处理相关联的一个或多个过程或操作。

    Nuclear-characteristic calculating program and analyzing apparatus
    89.
    发明授权
    Nuclear-characteristic calculating program and analyzing apparatus 有权
    核特征计算程序和分析仪器

    公开(公告)号:US08583409B2

    公开(公告)日:2013-11-12

    申请号:US13206219

    申请日:2011-08-09

    CPC classification number: G21D3/001 G21C17/063 Y02E30/40

    Abstract: A nuclear-characteristic calculating program for calculating a nuclear characteristic of a fuel rod that contains nuclear fuel and burnable poison includes a first scattering model that can represent a simple scattering of the neutron and a second scattering model that can represent a complicated scattering of the neutron. The nuclear-characteristic calculating program includes step of calculating, when a burnup of the fuel rod is before a set burnup at which the burnable poison is considered to lose neutron absorption capability, the nuclear characteristic of the fuel rod by using the second scattering model, step of switching, when the burnup of the fuel rod is the set burnup, the scattering model from the second scattering model to the first scattering model, and step of calculating, after performing step of switching, the nuclear characteristic of the fuel rod by using the first scattering model.

    Abstract translation: 用于计算包含核燃料和可燃毒物的燃料棒的核特性的核特征计算程序包括可以表示中子的简单散射的第一散射模型和可以代表中子的复杂散射的第二散射模型 。 核特征计算程序包括以下步骤:当燃料棒的燃耗在可燃毒物被认为失去中子吸收能力的设定燃耗之前时,计算使用第二散射模型的燃料棒的核特性, 当燃料棒的燃耗是设定燃耗时,从第二散射模型到第一散射模型的散射模型,以及在执行切换步骤之后计算燃料棒的核特性的步骤,通过使用 第一个散射模型。

    Systems and methods for predictive coding

    公开(公告)号:US08554716B1

    公开(公告)日:2013-10-08

    申请号:US13074005

    申请日:2011-03-28

    CPC classification number: G06N99/005 G06F17/30011 G06N5/04 G06N5/048 G06N7/005

    Abstract: Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

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