OPS-SAT Spacecraft Autonomy with TensorFlow Lite, Unsupervised Learning, and Online Machine Learning-Reference-Cited by-同舟云学术

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OPS-SAT Spacecraft Autonomy with TensorFlow Lite, Unsupervised Learning, and Online Machine Learning

Published:2022-03-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Aerospace Conference (AERO)
language:
Short-container-title:

Author:

Labreche Georges¹,Evans David¹,Marszk Dominik¹,Mladenov Tom¹,Shiradhonkar Vasundhara²,Soto Tanguy¹,Zelenevskiy Vladimir³

Affiliation:

1. European Space Agency (ESA) Robert-Bosch-Straße 5,Darmstadt,Germany,64293

2. Terma GmbH Europaarkaden II,Darmstadt,Germany,64293

3. Telespazio Germany GmbH,Darmstadt,Germany,64293

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9843190/9843194/09843402.pdf?arnumber=9843402

Reference37 articles.

1. Learning via gaussian herding;crammer;Advances in neural information processing systems,2010

2. Exact soft confidence-weighted learning;wang;ArXiv Preprint,2012

3. Adaptive Regularization of Weight Vectors;crammer;NIPS,2009

4. Adaptive subgradient methods for online learning and stochastic optimization;duchi;Journal of Machine Learning Research,2011

5. Mission Operations Services Concept;CCSDS 520 0-G-3,2010

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