%0 Journal Article %1 ress2024analysis %A Ress, V. %A Brändle, M. %A Haala, N. %D 2024 %J 44. Wissenschaftlich-Technische Jahrestagung der DGPF in Remagen – Publikationen der DGPF %K rp26 peer %P 12-19 %T Analysis and Implementation of Rotation-invariant Neural Network Architectures for Feature Extraction %U https://www.dgpf.de/src/tagung/jt2024/proceedings/paper/02_KKNP_dgpf2024_Ress_et_al.pdf %V 32

@article{ress2024analysis, added-at = {2024-04-12T11:42:10.000+0200}, author = {Ress, V. and Brändle, M. and Haala, N.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2cb63dca40224715fdafa3fe0b472e8e1/intcdc}, interhash = {0148a5e1b7ee7f039481f70c4d5f6c1e}, intrahash = {cb63dca40224715fdafa3fe0b472e8e1}, journal = {44. Wissenschaftlich-Technische Jahrestagung der DGPF in Remagen – Publikationen der DGPF}, keywords = {rp26 peer}, pages = {12-19}, timestamp = {2024-04-12T11:42:10.000+0200}, title = {Analysis and Implementation of Rotation-invariant Neural Network Architectures for Feature Extraction }, url = {https://www.dgpf.de/src/tagung/jt2024/proceedings/paper/02_KKNP_dgpf2024_Ress_et_al.pdf }, volume = 32, year = 2024 }