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» Warping the time on data streams
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PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 12 months ago
Scaling up Dynamic Time Warping to Massive Dataset
Eamonn J. Keogh, Michael J. Pazzani
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
14 years 9 months ago
Efficient Processing of Warping Time Series Join of Motion Capture Data
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
11 years 10 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
IJCNN
2008
IEEE
14 years 2 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
ICPR
2006
IEEE
14 years 8 months ago
Affine Invariant Dynamic Time Warping and its Application to Online Rotated Handwriting Recognition
Dynamic Time Warping (DTW) has been widely used to align and compare two sequences. DTW can efficiently deal with local warp or deformation between sequences. However, it can'...
Yu Qiao, Makoto Yasuhara