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  • Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques
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Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques

Fuente: Redalyc
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Bibliographic Details
Main Author: Julius Venskus
Format: Artículo científico
Language:en
Published: Vilniaus Universitetas 2021
Subjects:
Matemáticas
autoencoder
wild bootstrap
joint supervision
LSTM prediction region learning
Unsupervised traffic anomaly prediction
Online Access:
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Internet

https://www.redalyc.org/articulo.oa?id=694173200010
https://www.redalyc.org/journal/6941/694173200010/
https://www.redalyc.org/journal/6941/694173200010/html/
https://www.redalyc.org/journal/6941/694173200010/694173200010.epub
https://www.redalyc.org/journal/6941/694173200010/movil
https://doi.org/10.15388/namc.2021.26.23056

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