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Lecture 10.1 Time Series (Dis)Similarity (Dynamic Time Warping)

Lecture 10.1 Time Series (Dis)Similarity (Dynamic Time Warping). CMSC 818W : Spring 2019. Tu-Th 2:00-3:15pm CSI 2118. Nirupam Roy. Apr. 25 th 2019. Similarity between two time series. Signal A:. Signal B:. Similarity between two time series: Euclidian distance.

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Fair Use Agreement. This agreement covers the use of all slides on this CD-Rom, please read carefully. You may freely use these slides for teaching, if You send me an email telling me the class number/ university in advance.

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Fast Time Series Classification Using Numerosity Reduction

Fast Time Series Classification Using Numerosity Reduction. Xiaopeng Xi Eamonn Keogh Christian Shelton Li Wei Chotirat Ann Ratanamahatana xxi@cs.ucr.edu Department of Computer Science and Engineering University of California, Riverside June 28, 2006. Overview. Background Motivation

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Dynamic Time Warping

Dynamic Time Warping. By Vinayak D. Labade. Pu Jiantao. Introduction DTW. Dynamic Time Warping Used for speech recognition Speech is a time dependent process Time Normalization Constraints on the Path End Point Constraint Monotonicity conditions Local continuity constraint

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Lecture 10.1 Time Series (Dis)Similarity (Dynamic Time Warping)

Fair Use Agreement

Fast Time Series Classification Using Numerosity Reduction

Dynamic Time Warping