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User model-improvement-data-driven selection and update of user-oriented recognition model of a given type for word recognition at network server

机译:用户模型改进数据驱动的给定类型的面向用户的识别模型的选择和更新,用于网络服务器上的单词识别

摘要

A distributed pattern recognition system includes at least one user station and a server station. The server station and the user station are connected via a network, such as Internet. The server station includes different recognition models of a same type. As part of a recognition enrolment, the user station transfers model improvement data associated with a user of the user station to the server station. The server station selects a recognition model from the different recognition models of a same type in dependence on the model improvement data. For each recognition session, the user station transfers an input pattern representative of time sequential input generated by the user to the server station. The server station retrieves a recognition model selected for the user and provides the retrieved recognition model to a recognition unit for recognising the input pattern using the recognition models.
机译:分布式模式识别系统包括至少一个用户站和服务器站。服务器站和用户站通过诸如因特网的网络连接。服务器站包括相同类型的不同识别模型。作为识别登记的一部分,用户站将与该用户站的用户相关联的模型改进数据传送到服务器站。服务器站根据模型改进数据从相同类型的不同识别模型中选择识别模型。对于每个识别会话,用户站将代表用户生成的时间顺序输入的输入模式传输到服务器站。服务器站检索为用户选择的识别模型,并将检索到的识别模型提供给识别单元,以使用识别模型来识别输入模式。

著录项

  • 公开/公告号US6363348B1

    专利类型

  • 公开/公告日2002-03-26

    原文格式PDF

  • 申请/专利权人 U.S. PHILIPS CORPORATION;

    申请/专利号US19980174167

  • 发明设计人 STEFAN BESLING;ERIC THELEN;

    申请日1998-10-16

  • 分类号G10L150/00;

  • 国家 US

  • 入库时间 2022-08-22 00:48:11

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