Time Series Averaging
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Time Series Averaging
UCR Time Series Classification Archive
Latest papers with no code
Accurate shape and phase averaging of time series through Dynamic Time Warping
We propose a novel time series averaging method based on Dynamic Time Warping (DTW).
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping
Furthermore, they conjectured that such inaccuracies are caused by the lack of triangle inequality.
Warped-Linear Models for Time Series Classification
This article proposes and studies warped-linear models for time series classification.
Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces
The class of subgradient methods generalizes existing sample mean algorithms such as DTW Barycenter Averaging (DBA).
Times series averaging from a probabilistic interpretation of time-elastic kernel
An experimentation that compares for 45 time series datasets classification error rates obtained by first near neighbors classifiers exploiting a single medoid or centroid estimate to represent each categories show that: i) centroids based approaches significantly outperform medoids based approaches, ii) on the considered experience, the two proposed algorithms outperform the state of the art DBA algorithm, and iii) the second proposed algorithm that implements an averaging jointly in the sample space and along the time axes emerges as the most significantly robust time elastic averaging heuristic with an interesting noise reduction capability.
