A recurrent network built from the DTW recurrence, using compressed prototypes, often beats DTW-kNN in low-resource settings and stays close to deep learning baselines on UCR benchmarks.
In: The Twelfth International Conference on Learning Representations (2024)
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Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
A recurrent network built from the DTW recurrence, using compressed prototypes, often beats DTW-kNN in low-resource settings and stays close to deep learning baselines on UCR benchmarks.