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Showing 1 to 1 of 1 for “"Temporal pattern discovery"”.

  1. Unsupervised discovery of activity primitives from multivariate sensor data

    This research addresses the problem of temporal pattern discovery in real-valued, multivariate sensor data. Several algorithms were developed, and subsequent evaluation demonstrates that they can efficiently and accurately discover unknown recurring patterns in time series data taken from many …

    gatech Repository record for Unsupervised discovery of activity primitives from multivariate sensor data (opens in a new tab)