Dynamic Boundary Time Warping for sub-sequence matching with few examples

Author:

Borchmann Łukasz,Jurkiewicz Dawid,Graliński Filip,Górecki Tomasz

Funder

Narodowe Centrum Badań i Rozwoju

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference84 articles.

1. Akbik, Alan, Blythe, Duncan, & Vollgraf, Roland (2018). Contextual String Embeddings for Sequence Labeling. In 27th International conference on computational linguistics. (pp. 1638–1649).

2. A simple but tough-to-beat baseline for sentence embeddings;Arora,2017

3. Bart, Evgeniy, & Ullman, Shimon (2005). Cross-generalization: learning novel classes from a single example by feature replacement. In 2005 IEEE computer society conference on computer vision and pattern recognition. (vol. 1). (pp. 672–679).

4. Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data;Barth;Sensors,2015

5. Using dynamic time warping to find patterns in time series;Berndt,1994

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