Visualizing Variable-Length Time Series Motifs

@inproceedings{Li2012VisualizingVT,
  title={Visualizing Variable-Length Time Series Motifs},
  author={Yuan Li and Jessica Lin and Tim Oates},
  booktitle={SDM},
  year={2012}
}
The problem of time series motif discovery has received a lot of attention from researchers in the past decade. Most existing work on finding time series motifs require that the length of the motifs be known in advance. However, such information is not always available. In addition, motifs of different lengths may co-exist in a time series dataset. In this work, we develop a motif visualization system based on grammar induction. We demonstrate that grammar induction in time series can… CONTINUE READING
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Grammar-guided Feature Extraction for LocationBased Object Detection

  • D. Eads, E. Rosten, D. Helmbold
  • British Machine Vision Conference. Queen Mary,
  • 2009
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