Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Fiel, Stefan"'
Autor:
Gauch, Martin, Beck, Maximilian, Adler, Thomas, Kotsur, Dmytro, Fiel, Stefan, Eghbal-zadeh, Hamid, Brandstetter, Johannes, Kofler, Johannes, Holzleitner, Markus, Zellinger, Werner, Klotz, Daniel, Hochreiter, Sepp, Lehner, Sebastian
Publikováno v:
Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1043-1064 (2022)
We introduce SubGD, a novel few-shot learning method which is based on the recent finding that stochastic gradient descent updates tend to live in a low-dimensional parameter subspace. In experimental and theoretical analyses, we show that models con
Externí odkaz:
http://arxiv.org/abs/2206.03483
Publikováno v:
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, 2017, pp. 991-997
Deep Convolutional Neural Networks (CNN) have shown great success in supervised classification tasks such as character classification or dating. Deep learning methods typically need a lot of annotated training data, which is not available in many sce
Externí odkaz:
http://arxiv.org/abs/1705.09369
Text line detection is crucial for any application associated with Automatic Text Recognition or Keyword Spotting. Modern algorithms perform good on well-established datasets since they either comprise clean data or simple/homogeneous page layouts. W
Externí odkaz:
http://arxiv.org/abs/1705.03311
Autor:
Muehlberger, Guenter, Seaward, Louise, Terras, Melissa, Ares Oliveira, Sofia, Bosch, Vicente, Bryan, Maximilian, Colutto, Sebastian, Déjean, Hervé, Diem, Markus, Fiel, Stefan, Gatos, Basilis, Greinoecker, Albert, Grüning, Tobias, Hackl, Guenter, Haukkovaara, Vili, Heyer, Gerhard, Hirvonen, Lauri, Hodel, Tobias, Jokinen, Matti, Kahle, Philip, Kallio, Mario, Kaplan, Frederic, Kleber, Florian, Labahn, Roger, Lang, Eva Maria, Laube, Sören, Leifert, Gundram, Louloudis, Georgios, McNicholl, Rory, Meunier, Jean-Luc, Michael, Johannes, Mühlbauer, Elena, Philipp, Nathanael, Pratikakis, Ioannis, Puigcerver Pérez, Joan, Putz, Hannelore, Retsinas, George, Romero, Verónica, Sablatnig, Robert, Sánchez, Joan Andreu, Schofield, Philip, Sfikas, Giorgos, Sieber, Christian, Stamatopoulos, Nikolaos, Strauß, Tobias, Terbul, Tamara, Toselli, Alejandro Héctor, Ulreich, Berthold, Villegas, Mauricio, Vidal, Enrique, Walcher, Johanna, Weidemann, Max, Wurster, Herbert, Zagoris, Konstantinos
Publikováno v:
Journal of Documentation, 2019, Vol. 75, Issue 5, pp. 954-976.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JD-07-2018-0114
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage. (IV):200-205
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=268993
A single abstract from the DHd-2017 Book of Abstracts.
Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung
Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c26a749ee7558d361d37761a01d208a
Publikováno v:
ACM International Conference Proceeding Series; 11/10/2017, p65-70, 6p
Autor:
Fiel, Stefan, Sablatnig, Robert
Publikováno v:
Computer Analysis of Images & Patterns: 16th International Conference, Caip 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part Ii; 2015, p26-37, 12p
ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014).
Autor:
Diem, Markus, Fiel, Stefan, Kleber, Florian, Sablatnig, Robert, Saavedra, Jose M., Contreras, David, Barrios, Juan Manuel, Oliveira, Luiz S.
Publikováno v:
2014 14th International Conference on Frontiers in Handwriting Recognition; 2014, p779-784, 6p
Autor:
Diem, Markus, Fiel, Stefan, Garz, Angelika, Keglevic, Manuel, Kleber, Florian, Sablatnig, Robert
Publikováno v:
2013 12th International Conference on Document Analysis & Recognition; 2013, p1422-1427, 6p