Fabio Bracci, Mo Li, Ingo Kossyk, Zoltan Csaba Marton. Applicability of Deep Learned vs Traditional Features for Depth Based Classification. In Reneta P. Barneva, Valentin E. Brimkov, Piotr Kulczycki, João Manuel R. S. Tavares, editors, Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2-5, 2018, Revised Selected Papers. Volume 10986 of Lecture Notes in Computer Science, pages 145-159, Springer, 2018. [doi]
@inproceedings{BracciLKM18,
title = {Applicability of Deep Learned vs Traditional Features for Depth Based Classification},
author = {Fabio Bracci and Mo Li and Ingo Kossyk and Zoltan Csaba Marton},
year = {2018},
doi = {10.1007/978-3-030-20805-9_13},
url = {https://doi.org/10.1007/978-3-030-20805-9_13},
researchr = {https://researchr.org/publication/BracciLKM18},
cites = {0},
citedby = {0},
pages = {145-159},
booktitle = {Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2-5, 2018, Revised Selected Papers},
editor = {Reneta P. Barneva and Valentin E. Brimkov and Piotr Kulczycki and João Manuel R. S. Tavares},
volume = {10986},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-20805-9},
}