@@ -199,13 +199,22 @@ Development:
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## References
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- 1 . Mueen, A and Keogh, E,
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+ 1 . T. K. Vintsyuk,
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+ Speech discrimination by dynamic programming.
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+ Kibernetika, 4:81–88, 1968.
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+ 2 . H. Sakoe and S. Chiba,
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+ Dynamic programming algorithm optimization for spoken word recognition.
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+ IEEE Transactions on Acoustics, Speech and Signal Processing, 26(1):43–49, 1978.
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+ 3 . C. S. Myers and L. R. Rabiner,
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+ A comparative study of several dynamic time-warping algorithms for connected-word recognition.
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+ The Bell System Technical Journal, 60(7):1389–1409, Sept 1981.
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+ 4 . Mueen, A and Keogh, E,
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[ Extracting Optimal Performance from Dynamic Time Warping] ( http://www.cs.unm.edu/~mueen/DTW.pdf ) ,
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Tutorial, KDD 2016
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- 2 . D. F. Silva, G. E. d . A. P. A. Batista, and E. Keogh.
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+ 5 . D. F. Silva, G. E. A. P. A. Batista, and E. Keogh.
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[ On the effect of endpoints on dynamic time warping] ( http://www-bcf.usc.edu/~liu32/milets16/paper/MiLeTS_2016_paper_7.pdf ) ,
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In SIGKDD Workshop on Mining and Learning from Time Series, II. Association for Computing Machinery-ACM, 2016.
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- 3 . C. Yanping, K. Eamonn, H. Bing, B. Nurjahan, B. Anthony, M. Abdullah and B. Gustavo.
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+ 6 . C. Yanping, K. Eamonn, H. Bing, B. Nurjahan, B. Anthony, M. Abdullah and B. Gustavo.
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[ The UCR Time Series Classification Archive] ( www.cs.ucr.edu/~eamonn/time_series_data/ ) , 2015.
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