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Decoupled Early Time Series Classification Using Varied-Length Feature Augmentation and Gradient Projection Technique
Early time series classification (ETSC) is crucial for real-world time-sensitive applications. This task aims to classify time series data with least timestamps at the desired accuracy. Early methods used fixed-length time series to train the deep models, and then quit the classification process by...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602421/ https://www.ncbi.nlm.nih.gov/pubmed/37420497 http://dx.doi.org/10.3390/e24101477 |