Some Open Questions on Morphological Operators and Representations in the Deep Learning Era-Reference-Cited by-同舟云学术

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Some Open Questions on Morphological Operators and Representations in the Deep Learning Era

Published:2021 Issue: Volume: Page:3-19
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Angulo Jesús

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76657-3_1

Reference87 articles.

1. Alemdar, H., Leroy, V., Prost-Boucle, A., Pétrot, F.: Ternary Neural Networks for Resource-Efficient AI Applications. arXiv:1609.00222 (2017)

2. Lecture Notes in Computer Science;J Angulo,2013

3. Angulo, J.: Lipschitz Regularization of Images supported on Surfaces using Riemannian Morphological Operators. HAL hal-01108130v2 (2014)

4. Lecture Notes in Computer Science;J Angulo,2017

5. Lecture Notes in Computer Science;J Angulo,2019

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