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Time series averaging in dynamic time warping (DTW) spaces has been successfully applied to improve pattern recognition systems.
Les éléments aléatoires de nature quelconque dans un espace distancié
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L.R. Rabiner and J.G. Wilpon · 1979
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The symmetric time-warping problem: From continuous to discrete
J.B. Kruskal and M. Liberman · 1983
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F.H. Clarke · 1990
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Measure theory and fine properties of functions
L.C. Evans and R.F. Gariepy · 1992
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Nonlinear alignment and averaging for estimating the evoked potential
L. Gupta, D. Molfese, R. Tammana, and P.G. Simos · 1996
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Algorithms on strings, trees and sequences: computer science and computational biology
D. Gusfield · 1997
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Stochastic generalized gradient method for nonconvex nonsmooth stochastic optimization
Y. Ermoliev and V. Norkin · 1998
Cited alongside, same era.
Clustering Time Series with Hidden Markov Models and Dynamic Time Warping
T. Oates, L. Firoiu, and P.R. Cohen · 1999
Cited alongside, same era.
Self-organizing maps and learning vector quantization for feature sequences
P. Somervuo and T. Kohonen · 1999
Cited alongside, same era.
A combination scheme for fuzzy clustering
E. Dimitriadou, A. Weingessel, and K. Hornik · 2002
Cited alongside, same era.
Cross-words reference template for DTW-based speech recognition systems
W.H. Abdulla, D. Chow, and G. Sin · 2003
Cited alongside, same era.
A tutorial on MM algorithms
D. Hunter and K. Lange · 2004
Cited alongside, same era.
Shape-based template matching for time series data
V. Niennattrakul, D. Srisai, and C.A. Ratanamahatana · 2012
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Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
F. Petitjean and P. Gançarski · 2012
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Practical Recommendations for Gradient-Based Training of Deep Architectures
Y. Bengio · 2013
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Introduction to Nonsmooth Optimization
A. Bagirov, N. Karmitsa, and M.M. Mäkelä · 2014
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Matlab and Java source code for DBA
F. Petitjean · 2014
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The UCR Time Series Classification Archive
Y. Chen, E. Keogh, B. Hu, N. Begum, A. Bagnall, A. Mueen, and G. Batista · 2015
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Numerical optimization: theoretical and practical aspects . Springer Science+Business Media, 2006
J.F. Bonnans, J.C. Gilbert, C. Lemarechal, and C.A. Sagastizbal · 2006
Cited alongside, same era.
Time-series clustering by approximate prototypes
V. Hautamaki, P. Nykanen, P. Franti · 2008
Cited alongside, same era.
Shape averaging under time warping
V. Niennattrakul and C.A. Ratanamahatana · 2009
Cited alongside, same era.
Contrast enhanced dynamic time warping distance for time series shape averaging classification
S. Ongwattanakul and D. Srisai · 2009
Cited alongside, same era.
Efficient time series classification under template matching using time warping alignment
D. Srisai and C.A. Ratanamahatana · 2009
Cited alongside, same era.
A global averaging method for dynamic time warping, with applications to clustering
F. Petitjean, A. Ketterlin, and P. Gancarski · 2011
Cited alongside, same era.
Progressive and Iterative Approaches for Time Series Averaging
S. Soheily-Khah, A. Douzal-Chouakria, and E. Gaussier · 2015
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Statistical Analysis of Graphs
B.J. Jain · 2016
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A Reduction Theorem for the Sample Mean in Dynamic Time Warping Spaces
B.J. Jain and D. Schultz · 2016
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Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
F. Petitjean, G. Forestier, G.I. Webb, A.E. Nicholson, Y. Chen, and E. Keogh · 2016
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Sample Mean Algorithms for Averaging in Dynamic Time Warping Spaces
D. Schultz and B.J. Jain · 2016
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Generalized k-means-based clustering for temporal data under weighted and kernel time warp
S. Soheily-Khah, A. Douzal-Chouakria, and E. Gaussier · 2016
Later among the works it cites.