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A Dynamic Key Context Information Based Scenes Recognition Method

机译:基于动态关键语境信息的场景识别方法

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摘要

In the context-awareness problems, classification models are used to recognize the user scenes based on the sensor signal data. To improve the classification accuracy, a Dynamic Key Context Information Based scenes recognition method is proposed in this paper. Since the location information can be easily obtained by the sensors, the data set is divided into groups by their location information. An attribute selection technique is applied in each group to identify the key information.
机译:在情境感知问题中,分类模型用于基于传感器信号数据识别用户场景。为了提高分类的准确性,提出了一种基于动态关键上下文信息的场景识别方法。由于可以通过传感器轻松获得位置信息,因此数据集按其位置信息分为几组。在每个组中应用一种属性选择技术来识别关键信息。

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