9 citations · 20 across the 5 of their papers we have counts for
6 papers
An Average-Compress Algorithm for the Sample Mean Problem under Dynamic Time Warping
Brijnesh Jain, Vincent Froese, David Schultz
Computing a sample mean of time series under dynamic time warping (DTW) is NP-hard. Consequently, there is an ongoing research effort to devise efficient heuristics. The majority o…
Exact Mean Computation in Dynamic Time Warping Spaces
Markus Brill, Till Fluschnik, Vincent Froese +3
Dynamic time warping constitutes a major tool for analyzing time series. In particular, computing a mean series of a given sample of series in dynamic time warping spaces (by minim…
Optimal Warping Paths are unique for almost every Pair of Time Series
Brijnesh J. Jain, David Schultz
Update rules for learning in dynamic time warping spaces are based on optimal warping paths between parameter and input time series. In general, optimal warping paths are not uniqu…
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
Brijnesh Jain, David Schultz
The nearest neighbor method together with the dynamic time warping (DTW) distance is one of the most popular approaches in time series classification. This method suffers from high…
Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces
David Schultz, Brijnesh Jain
Time series averaging in dynamic time warping (DTW) spaces has been successfully applied to improve pattern recognition systems. This article proposes and analyzes subgradient meth…
On the Existence of a Sample Mean in Dynamic Time Warping Spaces
Brijnesh J. Jain, David Schultz
The concept of sample mean in dynamic time warping (DTW) spaces has been successfully applied to improve pattern recognition systems and generalize centroid-based clustering algori…