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Found 9 papers, 1 papers with code
Making the Dynamic Time Warping Distance Warping-Invariant
The literature postulates that the dynamic time warping (dtw) distance can cope with temporal variations but stores and processes time series in a form as if the dtw-distance cannot cope with such variations.
Comparing Temporal Graphs Using Dynamic Time Warping
Recognizing patterns in temporal graphs requires a proximity measure to compare different temporal graphs.
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping
Furthermore, they conjectured that such inaccuracies are caused by the lack of triangle inequality.
Exact Mean Computation in Dynamic Time Warping Spaces
Dynamic time warping constitutes a major tool for analyzing time series.
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
The nearest neighbor method together with the dynamic time warping (DTW) distance is one of the most popular approaches in 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).
Asymptotic Behavior of Mean Partitions in Consensus Clustering
Although consistency is a minimum requirement of any estimator, little is known about consistency of the mean partition approach in consensus clustering.
Generalized Gradient Learning on Time Series under Elastic Transformations
Results indicate that generalized gradient learning via elastic functions have the potential to complement the state-of-the-art in statistical pattern recognition on time series.
Flip-Flop Sublinear Models for Graphs: Proof of Theorem 1
We prove that there is no class-dual for almost all sublinear models on graphs.
