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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
ArXiv (abs)PDFHTML

Papers citing "Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces"

7 / 7 papers shown
Title
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
S. Khorram
M. McInnis
E. Provost
AI4TS
38
11
0
21 Mar 2019
Making the Dynamic Time Warping Distance Warping-Invariant
Making the Dynamic Time Warping Distance Warping-Invariant
Brijnesh J. Jain
57
12
0
04 Mar 2019
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
AI4TS
81
169
0
27 Feb 2019
Semi-Metrification of the Dynamic Time Warping Distance
Semi-Metrification of the Dynamic Time Warping Distance
Brijnesh J. Jain
42
0
0
29 Aug 2018
Warped-Linear Models for Time Series Classification
Warped-Linear Models for Time Series Classification
Brijnesh J. Jain
AI4TS
58
2
0
24 Nov 2017
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
46
5
0
16 May 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
71
71
0
23 Jan 2017