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