公开(公告)号：US20020165714A1

公开(公告)日：2002-11-07

申请号：US10135336

申请日：2002-04-30

Applicant: U.S. Philips Corporation

Inventor： Peter Beyerlein

IPC: G10L015/00

CPC classification number: G10L15/183 ,  G06F17/17 ,  G10L15/142

Abstract: A method for recognizing a pattern that comprises a set of physical stimuli, said method comprising the steps of: providing a set of training observations and through applying a plurality of association models ascertaining various measuring values pj(knullx), jnull1 . . . M, that each pertain to assigning a particular training observation to one or more associated pattern classes; setting up a log/linear association distribution by combining all association models of the plurality according to respective weight factors, and joining thereto a normalization quantity to produce a compound association distribution; optimizing said weight factors for thereby minimizing a detected error rate of the actual assigning to said compound distribution; recognizing target observations representing a target pattern with the help of said compound distribution.

Abstract translation: 一种用于识别包括一组物理刺激的图案的方法，所述方法包括以下步骤：提供一组训练观察并通过应用确定各种测量值pj（k | x），j = 1的多个关联模型。 。 。 M，每个都涉及将特定训练观察指派给一个或多个相关联的模式类; 通过根据各自的权重因子组合多个的所有关联模型来建立对数/线性关联分布，并且将其归一化以产生化合物关联分布; 优化所述权重因子，从而最小化对所述复合分布的实际分配的检测到的错误率; 在所述复合分布的帮助下识别表示目标模式的目标观察。