Zijin Yang, Achim Schilling, Andreas Maier, Patrick Krauss. Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data. In Christoph Palm, Thomas M. Deserno, Heinz Handels, Andreas Maier 0001, Klaus H. Maier-Hein, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Informatik Aktuell, pages 211-216, Springer, 2021. [doi]
@inproceedings{YangSMK21,
title = {Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data},
author = {Zijin Yang and Achim Schilling and Andreas Maier and Patrick Krauss},
year = {2021},
doi = {10.1007/978-3-658-33198-6_51},
url = {https://doi.org/10.1007/978-3-658-33198-6_51},
researchr = {https://researchr.org/publication/YangSMK21},
cites = {0},
citedby = {0},
pages = {211-216},
booktitle = {Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021},
editor = {Christoph Palm and Thomas M. Deserno and Heinz Handels and Andreas Maier 0001 and Klaus H. Maier-Hein and Thomas Tolxdorff},
series = {Informatik Aktuell},
publisher = {Springer},
isbn = {978-3-658-33198-6},
}