HETEROGENEOUS DATA FUSION USING GAUSSIAN PROCESSES
    12.
    发明申请
    HETEROGENEOUS DATA FUSION USING GAUSSIAN PROCESSES 审中-公开
    使用高斯过程的异质数据融合

    公开(公告)号:US20140095426A1

    公开(公告)日:2014-04-03

    申请号:US14122965

    申请日:2012-05-31

    IPC分类号: G06N5/04

    CPC分类号: G06N5/048 G06N20/00

    摘要: A method and apparatus for processing data, the data including a set of one or more system inputs; and a set of one or more system outputs; wherein each system output corresponds to a respective system input; each system input includes a plurality of data points, such that at least one of these data points is from a different data source to at least one other of those data points, the method including performing a kernel function on a given system input from the data and a further system input to provide kernelised data; and inferring a value for further system output corresponding to the further system input; wherein the step of inferring includes applying a Gaussian Process to the kernelised data. The data sources may be heterogeneous data sources.

    摘要翻译: 一种用于处理数据的方法和装置,所述数据包括一组一个或多个系统输入; 和一组一个或多个系统输出; 其中每个系统输出对应于相应的系统输入; 每个系统输入包括多个数据点,使得这些数据点中的至少一个数据点从不同的数据源到这些数据点中的至少另一个,该方法包括在数据的给定系统输入上执行核函数 以及进一步的系统输入以提供核心化数据; 并推断与进一步的系统输入对应的进一步系统输出的值; 其中所述推断步骤包括将高斯处理应用于核化数据。 数据源可能是异构数据源。

    Estimating states of a plurality of targets tracked by a plurality of sensors
    13.
    发明授权
    Estimating states of a plurality of targets tracked by a plurality of sensors 有权
    估计由多个传感器跟踪的多个目标的状态

    公开(公告)号:US08610775B2

    公开(公告)日:2013-12-17

    申请号:US13056478

    申请日:2009-07-30

    IPC分类号: H04N7/18 G06F17/18 G06F19/00

    摘要: A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.

    摘要翻译: 一种估计由多个传感器跟踪的多个目标的状态的方法。 该方法包括基于由多个传感器获得的测量值获得多个数据集,每个数据集包括关于多个目标的状态的信息。 该方法然后生成描述第一数据集和至少一个其他数据集中的目标的相关性的多个目标相关数据集。 使用广义协方差联盟(GCU)技术来合并多个目标相关数据集中的至少一些以产生多个目标的状态的估计。

    Sausage Tray
    14.
    发明申请
    Sausage Tray 审中-公开
    香肠托盘

    公开(公告)号:US20100230322A1

    公开(公告)日:2010-09-16

    申请号:US12685717

    申请日:2010-01-12

    IPC分类号: B65D1/34

    CPC分类号: B65D1/34

    摘要: A packaging tray for sausage links includes a bottom having side edges joined by arcuate end edges. A side wall extends upwardly from each of the side edges. An end wall extends upwardly from each of the arcuate end edges. One of the arcuate end walls is convex and the other of the arcuate end walls is concave. Advantageously, the arcuate end walls secure nested sausages on the tray from shifting and eliminates empty space on the tray.

    摘要翻译: 用于香肠链接的包装托盘包括具有通过弧形端边缘连接的侧边缘的底部。 侧壁从每个侧边缘向上延伸。 端壁从每个弧形端边缘向上延伸。 其中一个弧形端壁是凸形的,另一个弧形端壁是凹形的。 有利的是,弓形端壁将托盘上的嵌套的香肠固定在移动位置,并消除了托盘上的空间。

    Apparatus and method for removing tops or roots from crops
    16.
    发明授权
    Apparatus and method for removing tops or roots from crops 有权
    从作物上去除顶部或根部的装置和方法

    公开(公告)号:US06382426B1

    公开(公告)日:2002-05-07

    申请号:US09380785

    申请日:1999-11-09

    申请人: David Nicholson

    发明人: David Nicholson

    IPC分类号: B07B1300

    CPC分类号: B07B1/15 A01D23/04 A23N15/04

    摘要: A machine for removing roots and tops from crops including a pair of counter-rotating rollers spaced apart so as to define a nip therebetween, and means for rotating the rollers characterized in that at least one roller is in the form of a polygonal twisted prism.

    摘要翻译: 一种用于从作物上除去根部和顶部的机器,包括间隔开的一对反向旋转辊以便在其间限定一个辊隙,以及用于转动辊的装置,其特征在于至少一个辊是多边形扭曲棱镜的形式。

    ESTIMATING A STATE OF AT LEAST ONE TARGET
    19.
    发明申请
    ESTIMATING A STATE OF AT LEAST ONE TARGET 审中-公开
    估计至少一个目标的状态

    公开(公告)号:US20120030154A1

    公开(公告)日:2012-02-02

    申请号:US13062096

    申请日:2009-09-02

    IPC分类号: G06F15/18 G06F17/10

    摘要: A method of estimating a state of at least one target. The method includes obtaining at least one target measurement from a first sensor, and applying a Gaussian Process technique to a target measurement to obtain an updated target measurement.

    摘要翻译: 一种估计至少一个目标的状态的方法。 该方法包括从第一传感器获得至少一个目标测量,以及将高斯处理技术应用于目标测量以获得更新的目标测量。

    Sensor control
    20.
    发明授权
    Sensor control 有权
    传感器控制

    公开(公告)号:US07917332B2

    公开(公告)日:2011-03-29

    申请号:US11938342

    申请日:2007-11-12

    IPC分类号: G06F17/18

    CPC分类号: G05B13/024 Y10S706/906

    摘要: A system and method of controlling a sensor to sense one target from a plurality of targets includes predicting states of the targets. A set of probability distributions is generated. Each probability distribution in the set represents a setting or settings of at least one control parameter of the sensor. An expected information gain value for each control parameter in the set is calculated. The information gain value represents an expected quality of a measurement of one of the targets taken by the sensor if controlled according to the control parameter, based on the predicted state of the target. Updating the set of probability distributions takes place to identify the sensor control parameters that maximise the expected information gain value. The sensor is then controlled in accordance with the maximising control parameters.

    摘要翻译: 控制传感器以从多个目标感测一个目标的系统和方法包括预测目标的状态。 生成一组概率分布。 集合中的每个概率分布表示传感器的至少一个控制参数的设置或设置。 计算集合中每个控制参数的预期信息增益值。 信息增益值表示基于目标的预测状态根据控制参数控制由传感器拍摄的目标之一的测量的期望质量。 进行概率分布的更新以识别使预期信息增益值最大化的传感器控制参数。 然后根据最大化的控制参数来控制传感器。