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    • 6. 发明申请
    • Method for displaying spectral trends in complex signals
    • 在复杂信号中显示光谱趋势的方法
    • US20050080828A1
    • 2005-04-14
    • US10962336
    • 2004-10-08
    • Mark Johnson
    • Mark Johnson
    • G06F13/00G06N20060101
    • A61B5/048A61B5/7257
    • A method for displaying changes in spectral content of data signals over periods of time using a computer system. The method includes the steps of transforming time segments of digitized data signals into a frequency based spectral representation of the digitized data. The resulting spectral data are then grouped into appropriate frequency bins. Each frequency bin is normalized by the frequency range of the bin. The energy or power in each frequency bin is then multiplied by ƒn, where ƒ represents an estimate of the frequency of the bin, and n is an exponent which is used to normalize the frequency content of the data. A logarithmic value is then calculated for each frequency bin. The logarithmic value of each frequency bin for each time period is then mapped to a color or gray-scale value. Finally, the mapped color or gray-scale value is displayed on a computer monitor in the computer system as an image, where the signal frequency is represented along one axis, time is represented along a second axis, and the value of the energy or power at that given time and frequency is displayed as the color or gray-scale value assigned to that point.
    • 一种使用计算机系统在一段时间内显示数据信号的频谱内容的变化的方法。 该方法包括将数字化数据信号的时间段转换为数字化数据的基于频率的频谱表示的步骤。 然后将所得到的光谱数据分组成适当的频率仓。 每个频率仓通过仓的频率范围进行归一化。 然后将每个频率仓中的能量或功率乘以f ,其中f表示箱的频率的估计,n是用于对数据的频率内容进行归一化的指数。 然后对每个频率仓计算一个对数值。 然后将每个时间段的每个频率仓的对数值映射到一个颜色或灰度值。 最后,将映射的颜色或灰度值作为图像显示在计算机系统中的计算机监视器上,其中信号频率沿着一个轴表示,时间沿第二轴表示,能量或功率的值 在给定的时间和频率显示为分配给该点的颜色或灰度值。
    • 7. 发明申请
    • System and method of computing and displaying property-encoded surface translator descriptors
    • 计算和显示属性编码表面翻译器描述符的系统和方法
    • US20050119858A1
    • 2005-06-02
    • US10949065
    • 2004-09-24
    • Curt Breneman
    • Curt Breneman
    • G06F19/00G06N20060101
    • G06T15/06
    • A method for computing surface descriptors for a closed surface, which are each encoded with a property of the closed surface. A triangulated model of the closed surface is provided that includes a number of triangles. A number of random points within the closed surface are selected. A set of surface descriptors originated from each of the plurality of random points are generated, in parallel, using a ray bouncing algorithm. Each surface descriptor is determined using: a ray length of a ray traced by the ray bouncing algorithm; and an estimated property value at the point of intersection. The estimated property value is calculated using property values corresponding to the vertices of the intersected triangle. It is determined whether a distribution of the sets of surface descriptors converge using a convergence algorithm. The ray bouncing and convergence algorithms are repeated until this distribution is determined to converge.
    • 一种用于计算封闭表面的表面描述符的方法,每个表面描述符都用封闭表面的属性进行编码。 提供了包含多个三角形的封闭表面的三角形模型。 选择封闭表面内的多个随机点。 使用射线弹跳算法并行地生成来自多个随机点中的每一个的一组表面描述符。 每个表面描述符使用:由射线弹跳算法跟踪的射线的射线长度来确定; 以及交点处的估计属性值。 使用与相交三角形的顶点对应的属性值来计算估计的属性值。 使用收敛算法确定表面描述符的集合的分布是否收敛。 重复射线弹跳和收敛算法,直至确定​​该分布收敛。
    • 8. 发明申请
    • Support vector regression for censored data
    • 支持向量回归检查数据
    • US20050108753A1
    • 2005-05-19
    • US10991240
    • 2004-11-17
    • Olivier SaidiDavid Verbel
    • Olivier SaidiDavid Verbel
    • G06F13/00G06N20060101H04N5/445
    • G06F17/18G06F19/00G06K9/6263G06K9/6269G16H10/20
    • A method of producing a model for use in predicting time to an event includes obtaining multi-dimensional, non-linear vectors of information indicative of status of multiple test subjects, at least one of the vectors being right-censored, lacking an indication of a time of occurrence of the event with respect to the corresponding test subject, and performing regression using the vectors of information to produce a kernel-based model to provide an output value related to a prediction of time to the event based upon at least some of the information contained in the vectors of information, where for each vector comprising right-censored data, a censored-data penalty function is used to affect the regression, the censored-data penalty function being different than a non-censored-data penalty function used for each vector comprising non-censored data.
    • 产生用于预测事件时间的模型的方法包括:获得指示多个测试对象的状态的信息的多维非线性向量,至少一个向量被正确检测,缺少一个指示 相对于相应的测试对象发生事件的时间,以及使用信息向量来执行回归,以产生基于内核的模型,以基于至少一些所述事件来提供与对时间的预测相关的输出值 包含在信息矢量中的信息,其中对于包括右检查数据的每个向量,使用截尾数据惩罚函数来影响回归,所述截尾数据惩罚函数不同于用于 每个向量包括非审查数据。