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Trainable Time Warping: Aligning Time-Series in the Continuous-Time
  Domain

Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain

21 March 2019
S. Khorram
M. McInnis
E. Provost
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain"

5 / 5 papers shown
Title
Optimal Warping Paths are unique for almost every Pair of Time Series
Optimal Warping Paths are unique for almost every Pair of Time Series
Brijnesh J. Jain
David Schultz
39
5
0
16 May 2017
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor
  Classification in Dynamic Time Warping Spaces
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
Brijnesh J. Jain
David Schultz
42
22
0
24 Mar 2017
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
176
628
0
05 Mar 2017
Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time
  Warping Spaces
Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces
David Schultz
Brijnesh J. Jain
40
70
0
23 Jan 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1