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Encoding Time Series as Multi-Scale Signed Recurrence Plots for Classification Using Fully Convolutional Networks
Recent advances in time series classification (TSC) have exploited deep neural networks (DNN) to improve the performance. One promising approach encodes time series as recurrence plot (RP) images for the sake of leveraging the state-of-the-art DNN to achieve accuracy. Such an approach has been shown...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412236/ https://www.ncbi.nlm.nih.gov/pubmed/32650584 http://dx.doi.org/10.3390/s20143818 |