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    • 4. 发明授权
    • Methods of characterizing similarity between measurements on entities, computer programs product and data carrier
    • 表征实体,计算机程序产品和数据载体上的测量之间的相似性的方法
    • US07889318B2
    • 2011-02-15
    • US12233484
    • 2008-09-18
    • Christianus Gerardus Maria De MolMaria Elisabeth Reuhman-Huisken
    • Christianus Gerardus Maria De MolMaria Elisabeth Reuhman-Huisken
    • G03B27/53G03B27/32
    • G06K9/32G03F7/705G03F7/70633G03F7/70783
    • A method for characterizing the similarity between measurements on a plurality of entities comprising a first entity and a second entity comprises receiving measurements taken at a plurality of measurement points per entity. A model is defined comprising a stochastic process and a model function having values which depend on a set of parameters and the measurement points. A set (β) of parameters is estimated by fitting the model function to the measurements. Residual data is determined for at least a part of the plurality of measurement points for the first entity and the second entity by subtracting the fitted function from the measurements. A correlation coefficient for the first entity (i′) and the second entity (i″) is estimated based on the determined residual data and the estimated correlation coefficient is used to characterize the similarity between the measurements. The model is defined such that the residual data is expected to have a deterministic component which depends on the measurement points and that dominates the estimate of the correlation coefficient. The correlation coefficient is estimated using an estimate for the entity average residue averaged over the measurement points of the first entity and using an estimate for the entity average residue averaged over the measurement points of the second entity.
    • 用于表征包括第一实体和第二实体的多个实体上的测量之间的相似性的方法包括接收在每个实体的多个测量点处进行的测量。 定义的模型包括随机过程和具有取决于一组参数和测量点的值的模型函数。 通过将模型函数拟合到测量中来估计参数的集合(&bgr)。 通过从测量中减去拟合函数,为第一实体和第二实体的多个测量点的至少一部分确定剩余数据。 基于所确定的残差数据来估计第一实体(i')和第二实体(i“)的相关系数,并且使用估计的相关系数来表征测量之间的相似性。 定义模型,使得残差数据预期具有取决于测量点的确定性分量,并且支配相关系数的估计。 使用对第一实体的测量点平均的实体平均残差的估计并使用在第二实体的测量点上平均的实体平均残差的估计来估计相关系数。
    • 8. 发明申请
    • Methods of Characterizing Similarity Between Measurements on Entities, Computer Programs Product and Data Carrier
    • 表征实体测量相似性的方法,计算机程序产品和数据载体
    • US20090076999A1
    • 2009-03-19
    • US12233484
    • 2008-09-18
    • Christianus Gerardus Maria DE MOLMaria Elisabeth Reuhman-Huisken
    • Christianus Gerardus Maria DE MOLMaria Elisabeth Reuhman-Huisken
    • G06N5/02
    • G06K9/32G03F7/705G03F7/70633G03F7/70783
    • A method for characterizing the similarity between measurements on a plurality of entities comprising a first entity and a second entity comprises receiving measurements taken at a plurality of measurement points per entity. A model is defined comprising a stochastic process and a model function having values which depend on a set of parameters and the measurement points. A set (β) of parameters is estimated by fitting the model function to the measurements. Residual data is determined for at least a part of the plurality of measurement points for the first entity and the second entity by subtracting the fitted function from the measurements. A correlation coefficient for the first entity (i′) and the second entity (i″) is estimated based on the determined residual data and the estimated correlation coefficient is used to characterize the similarity between the measurements. The model is defined such that the residual data is expected to have a deterministic component which depends on the measurement points and that dominates the estimate of the correlation coefficient. The correlation coefficient is estimated using an estimate for the entity average residue averaged over the measurement points of the first entity and using an estimate for the entity average residue averaged over the measurement points of the second entity.
    • 用于表征包括第一实体和第二实体的多个实体上的测量之间的相似性的方法包括接收在每个实体的多个测量点处进行的测量。 定义的模型包括随机过程和具有取决于一组参数和测量点的值的模型函数。 通过将模型函数拟合到测量中来估计参数的集合(β)。 通过从测量中减去拟合函数,为第一实体和第二实体的多个测量点的至少一部分确定剩余数据。 基于所确定的残差数据来估计第一实体(i')和第二实体(i“)的相关系数,并且使用估计的相关系数来表征测量之间的相似性。 定义模型,使得残差数据预期具有取决于测量点的确定性分量,并且支配相关系数的估计。 使用对第一实体的测量点平均的实体平均残差的估计并使用在第二实体的测量点上平均的实体平均残差的估计来估计相关系数。