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• W2149121710 abstract "Segmenting real-valued data, be it speech waveforms into words and phrases or temperature readings into environmental epochs, is a challenging, open problem. We introduce an unsupervised, domain-independent algorithm, RIPTIDE, that discovers segments in real-valued time series data while constructing a hierarchy of segments. Our top-down approach begins with a coarse approximation of the input data, finds segment boundaries, and recursively considers discovered segments with a finer resolution. We demonstrate the drawbacks of an existing segmentation algorithm and the multiresolution capabilities of a discretization method for time series." @default.
• W2149121710 created "2016-06-24" @default.
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• W2149121710 date "2007-07-01" @default.
• W2149121710 modified "2023-09-24" @default.
• W2149121710 title "RIPTIDE: Segmenting data using multiple resolutions" @default.
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• W2149121710 doi "https://doi.org/10.1109/devlrn.2007.4354058" @default.
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