Precision Learning: Towards Use of Known Operators in Neural Networks

Conference contribution


Publication Details

Author(s): Maier A, Schebesch F, Syben C, Würfl T, Steidl S, Choi JH, Fahrig R
Publication year: 2018
Conference Proceedings Title: 2018 24rd International Conference on Pattern Recognition (ICPR)
Pages range: 183-188


FAU Authors / FAU Editors

Fahrig, Rebecca Prof. Dr.
Technische Fakultät
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Schebesch, Frank
Lehrstuhl für Informatik 5 (Mustererkennung)
Steidl, Stefan PD Dr.
Lehrstuhl für Informatik 5 (Mustererkennung)
Syben, Christopher
Lehrstuhl für Informatik 5 (Mustererkennung)
Würfl, Tobias
Lehrstuhl für Informatik 5 (Mustererkennung)


External institutions with authors

Ewha Womans University / 이화여자대학교


How to cite

APA:
Maier, A., Schebesch, F., Syben, C., Würfl, T., Steidl, S., Choi, J.-H., & Fahrig, R. (2018). Precision Learning: Towards Use of Known Operators in Neural Networks. In 2018 24rd International Conference on Pattern Recognition (ICPR) (pp. 183-188). Beijing, China.

MLA:
Maier, Andreas, et al. "Precision Learning: Towards Use of Known Operators in Neural Networks." Proceedings of the 24rd International Conference on Pattern Recognition (ICPR), Beijing, China 2018. 183-188.

BibTeX: 

Last updated on 2019-31-03 at 20:23