Výsledky vyhledávání - "Staps, Daniel"

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A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements

Autor: Schulte, Julia, Staps, Daniel, Lampe, Alexander

This paper contains a feasibility study of deep neural networks for the classification of Euro banknotes with respect to requirements of central banks on the ATM and high speed sorting industry. Instead of concentrating on the accuracy for a large nu

Externí odkaz: http://arxiv.org/abs/1907.07890

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A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation

Autor: Villmann, Thomas, Staps, Daniel, Ravichandran, Jensun, Saralajew, Sascha, Biehl, Michael, Kaden, Marika, Bouadi, Tassadit, Fromont, Elisa, Hüllermeier, Eyke

Publikováno v: Advances in Intelligent Data Analysis XX-20th International Symposium on Intelligent Data Analysis, IDA 2022, Proceedings, 354-364
STARTPAGE=354;ENDPAGE=364;TITLE=Advances in Intelligent Data Analysis XX-20th International Symposium on Intelligent Data Analysis, IDA 2022, Proceedings
Lecture Notes in Computer Science ISBN: 9783031013324

We present a method, which allows to train a Generalized Matrix Learning Vector Quantization (GMLVQ) model for classification using data from several, maybe non-calibrated, sources without explicit transfer learning. This is achieved by using a siame

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e09606c31581e7869edbe1f3f01855c
https://doi.org/10.1007/978-3-031-01333-1_28

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