CLASSIFYING TIME SERIES USING RECONSTRUCTION ERRORS

    公开(公告)号:US20230380771A1

    公开(公告)日:2023-11-30

    申请号:US17825427

    申请日:2022-05-26

    CPC classification number: A61B5/7267 A61B5/7275 A61B5/7285 A61B5/725

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying an input time series into a class from a set of classes. In one aspect, a method comprises: receiving an input time series; processing the input time series using a reconstruction model to generate a reconstruction model output that comprises a plurality of channels, wherein each channel of the plurality of channels defines a respective output time series, and wherein each channel of the plurality of channels corresponds to a respective class from the set of classes; determining a respective reconstruction error for each channel of the plurality of channels based on an error between: (i) the output time series defined by the channel, and (ii) the input time series; and classifying the input time series as being included in a class from the set of classes based on the reconstruction errors.

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