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pro vyhledávání: '"Elshaer, Mohamed Ezzeldin A."'
In this work, we train fully convolutional networks to detect anger in speech. Since training these deep architectures requires large amounts of data and the size of emotion datasets is relatively small, we use transfer learning. However, unlike prev
Externí odkaz:
http://arxiv.org/abs/1902.02120
Autor:
Christ, Patrick Ferdinand, Elshaer, Mohamed Ezzeldin A., Ettlinger, Florian, Tatavarty, Sunil, Bickel, Marc, Bilic, Patrick, Rempfler, Markus, Armbruster, Marco, Hofmann, Felix, D'Anastasi, Melvin, Sommer, Wieland H., Ahmadi, Seyed-Ahmad, Menze, Bjoern H.
Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems. This paper presents a method to automatically segment liver
Externí odkaz:
http://arxiv.org/abs/1610.02177