26.1.5.1 Time Series Warping, Time Warping

Orsenigo, C., Vercellis, C.,
Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification,
PR(43), No. 11, November 2010, pp. 3787-3794.
Elsevier DOI 1008
Time series classification; Support vector machines; Discrete support vector machines; Learning theory; Warping distance BibRef

Jeong, Y.S.[Young-Seon], Jeong, M.K.[Myong K.], Omitaomu, O.A.[Olufemi A.],
Weighted dynamic time warping for time series classification,
PR(44), No. 9, September 2011, pp. 2231-2240.
Elsevier DOI 1106
Dynamic time warping; Adaptive weights; Weighted dynamic time warping; Modified logistic weight function; Time series classification; Time series clustering BibRef

Sharabiani, A., Darabi, H., Rezaei, A., Harford, S., Johnson, H., Karim, F.,
Efficient Classification of Long Time Series by 3-D Dynamic Time Warping,
SMCS(47), No. 10, October 2017, pp. 2688-2703.
IEEE DOI 1709
Cybernetics, Heuristic algorithms, Robot sensing systems, Robustness, Time measurement, Time series analysis, Training, Approximation methods, dynamic time warping (DTW), time, series, classification, (TSC) BibRef

Morel, M.[Marion], Achard, C.[Catherine], Kulpa, R.[Richard], Dubuisson, S.[Séverine],
Time-series averaging using constrained dynamic time warping with tolerance,
PR(74), No. 1, 2018, pp. 77-89.
Elsevier DOI 1711
Time-series averaging BibRef

Schultz, D.[David], Jain, B.J.[Brijnesh J.],
Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces,
PR(74), No. 1, 2018, pp. 340-358.
Elsevier DOI 1711
Dynamic time warping BibRef

Jain, B.J.[Brijnesh J.], Schultz, D.[David],
Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces,
PR(76), No. 1, 2018, pp. 349-366.
Elsevier DOI 1801
Learning vector quantization BibRef

Jain, B.J.[Brijnesh J.],
Making the dynamic time warping distance warping-invariant,
PR(94), 2019, pp. 35-52.
Elsevier DOI 1906
Time series, Dynamic time warping, Semi-metric, Nearest-neighbor rule BibRef

Folgado, D.[Duarte], Barandas, M.[Marília], Matias, R.[Ricardo], Martins, R.[Rodrigo], Carvalho, M.[Miguel], Gamboa, H.[Hugo],
Time Alignment Measurement for Time Series,
PR(81), 2018, pp. 268-279.
Elsevier DOI 1806
Time series, Time warping, Similarity, Distance, Signal alignment BibRef

Oregi, I.[Izaskun], Pérez, A.[Aritz], del Ser, J.[Javier], Lozano, J.A.[Jose A.],
On-line Elastic Similarity Measures for time series,
PR(88), 2019, pp. 506-517.
Elsevier DOI 1901
Time series, Streaming data, Dynamic time warping, Elastic similarity measures BibRef

Jain, B.[Brijnesh],
Revisiting inaccuracies of time series averaging under dynamic time warping,
PRL(125), 2019, pp. 418-424.
Elsevier DOI 1909
Time series, Dynamic time warping, Time series averaging, k-means BibRef

Iwana, B.K.[Brian Kenji], Uchida, S.[Seiichi],
Time series classification using local distance-based features in multi-modal fusion networks,
PR(97), 2020, pp. 107024.
Elsevier DOI 1910
Convolutional Neural Network, Time series classification, Dynamic time warping, Distance features BibRef

Deng, H.Q.[Hui-Qi], Chen, W.F.[Wei-Fu], Shen, Q.[Qi], Ma, A.J.[Andy J.], Yuen, P.C.[Pong C.], Feng, G.[Guocan],
Invariant subspace learning for time series data based on dynamic time warping distance,
PR(102), 2020, pp. 107210.
Elsevier DOI 2003
Invariant subspace learning, Dynamic time warping (DTW), Time series, Dictionary learning BibRef

Phan, T.T.H.[Thi-Thu-Hong], Poisson Caillault, É.[Émilie], Lefebvre, A.[Alain], Bigand, A.[André],
Dynamic time warping-based imputation for univariate time series data,
PRL(139), 2020, pp. 139-147.
Elsevier DOI 2011
Imputation, Missing data, Univariate time series, DTW, Similarity BibRef

Meynard, A.,
Spectral Estimation for Multivariate Locally Time-Warped Signals,
SPLetters(27), 2020, pp. 311-315.
IEEE DOI 2003
Nonstationarity, spectral analysis, blind source separation, time warping, wavelet transform BibRef

Webb, G.I.[Geoffrey I.], Petitjean, F.[François],
Tight lower bounds for dynamic time warping,
PR(115), 2021, pp. 107895.
Elsevier DOI 2104
Dynamic time warping, Lower bound, Time series BibRef

Bayram, I.[Ilker],
Time-series estimation from randomly time-warped observations,
PRL(158), 2022, pp. 94-103.
Elsevier DOI 2205
Time warping, Curve alignment, Curve registration, Graph centrality, Estimation, Anomaly measure BibRef

Matsuo, S.[Shinnosuke], Wu, X.M.[Xiao-Meng], Atarsaikhan, G.[Gantugs], Kimura, A.[Akisato], Kashino, K.[Kunio], Iwana, B.K.[Brian Kenji], Uchida, S.[Seiichi],
Deep attentive time warping,
PR(136), 2023, pp. 109201.
Elsevier DOI 2301
Dynamic time warping, Attention model, Metric learning, Time series classification, Online signature verification BibRef

Belkhouja, T.[Taha], Yan, Y.[Yan], Doppa, J.R.[Janardhan Rao],
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain,
PAMI(45), No. 6, June 2023, pp. 7353-7366.
IEEE DOI 2305
Robustness, Euclidean distance, Time measurement, Perturbation methods, Extraterrestrial measurements, Standards, time series BibRef

Wilson, G.[Garrett], Doppa, J.R.[Janardhan Rao], Cook, D.J.[Diane J,],
CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning,
PAMI(45), No. 12, December 2023, pp. 14208-14221.
IEEE DOI 2311
BibRef

Wang, L.[Lei], Koniusz, P.[Piotr],
Uncertainty-DTW for Time Series and Sequences,
ECCV22(XXI:176-195).
Springer DOI 2211
Dynamic Time Warping. BibRef

Uchida, S.[Seiichi], Fukutomi, M.[Masahiro], Ogawara, K.[Koichi], Feng, Y.[Yaokai],
Non-Markovian dynamic time warping,
ICPR12(2294-2297).
WWW Link. 1302
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Time Series Analysis, Recovery, Restoration, Prediction, Reconstruction, Forecast, Estimation .