A Study on the Dynamic Time Warping in Kernel Machines

  title={A Study on the Dynamic Time Warping in Kernel Machines},
  author={Hansheng Lei and Bing-Yu Sun},
  journal={2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System},
The dynamic time warping (DTW) is state-of-the-art distance measure widely used in sequential pattern matching and it outperforms Euclidean distance in most cases because its matching is elastic and robust. It is tempting to substitute DTW distance for Euclidean distance in the Gaussian RBF kernel and plug it into the state-of-the art classifier support vector machines (SVMs) for sequence classification. However, it is not straightforward that DTW also outperforms Euclidean distance in kernel… CONTINUE READING
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