David Schultz

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Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces
David Schultz, Brijnesh Johannes Jain
In: Pattern Recognition, Volume 74, Pages 340-358, 2018; 2018

Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces
Brijnesh Jain, David Schultz
In: Pattern Recognition, Volume 76, April 2018, Pages 349-366; 2018

Exact Mean Computation in Dynamic Time Warping Spaces
Markus Brill, Till Fluschnik, Vincent Froese,Brijnesh Jain, Rolf Niedermeier, David Schultz
In: SIAM International Conference on Data Mining; 2018


Optimal Warping Paths are unique for almost every pair of Time Series
Brijnesh Jain, David Schultz
In: arXiv preprint arXiv:1705.05681; 2017


Approximate Recurrence Quantification Analysis (aRQA) in Code of Best Practice
Stephan Spiegel, David Schultz, Norbert Marwan
In: Recurrence Plots and Their Quantifications: Expanding Horizons: Proceedings of the 6th International Symposium on Recurrence Plots, Grenoble, France, 17-19 June 2015; 2016

A Reduction Theorem for the Sample Mean in Dynamic Time Warping Spaces
Brijnesh Jain, David Schultz
In: arXiv preprint arXiv:1610.04460; 2016


Approximation of diagonal line based measures in recurrence quantification analysis
David Schultz, Stephan Spiegel, Norbert Marwan, Sahin Albayrak
In: Physics Letters A; 2015


BestTime: Finding Representatives in Time Series Datasets
Stephan Spiegel, David Schultz, Sahin Albayrak
In: ECML-PKDD-14: Lecture Notes in Artificial Intelligence” (LNAI) Series, Springer; 2014