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Bibliography

  1. Lichman, M. (2013), UCI Machine Learning Repository (http://archive.ics.uci.edu/ml), Irvine, CA: University of California, School of Information and Computer Science, Dataset for ADL Recognition with Wrist-worn Accelerometer Data Set
  2. Toni Giorgino (2009), Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package, Journal of Statistical Software, 31(7), 1-24, doi:10.18637/jss.v031.i07
  1. Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs, Doruk Sart, Abdullah Mueen, Walid Najjar, Vit Niennattrakul, Eamonn Keogh, in the Proceedings of IEEE ICDM 2010. pp. 1001-1006 at: http://alumni.cs.ucr.edu/~mueen/pdf/icdm2010.pdf
  2. Domingos P. 2012, A Few Useful Things to Know about Machine Learning, Communications of the ACM, October, 55(10), pp. 78-87
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