@article{(Open Science Index):https://publications.waset.org/pdf/17207,
	  title     = {Adaptive Dynamic Time Warping for Variable Structure Pattern Recognition},
	  author    = {S. V. Yendiyarov},
	  country	= {},
	  institution	= {},
	  abstract     = {Pattern discovery from time series is of fundamental importance. Particularly, when information about the structure of a pattern is not complete, an algorithm to discover specific patterns or shapes automatically from the time series data is necessary. The dynamic time warping is a technique that allows local flexibility in aligning time series. Because of this, it is widely used in many fields such as science, medicine, industry, finance and others. However, a major problem of the dynamic time warping is that it is not able to work with structural changes of a pattern. This problem arises when the structure is influenced by noise, which is a common thing in practice for almost every application. This paper addresses this problem by means of developing a novel technique called adaptive dynamic time warping.
},
	    journal   = {International Journal of Mechanical and Industrial Engineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {1352 - 1356},
	  ee        = {https://publications.waset.org/pdf/17207},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},
	}