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pro vyhledávání: '"Wimmer, Georg"'
Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators for vasculature images. While NIQE and BRISQUE if trained on common imag
Externí odkaz:
http://arxiv.org/abs/2302.09973
The last decade has brought forward many great contributions regarding presentation attack detection for the domain of finger and hand vein biometrics. Among those contributions, one is able to find a variety of different attack databases that are ei
Externí odkaz:
http://arxiv.org/abs/2203.08972
Publikováno v:
In Computers and Electronics in Agriculture June 2024 221
The proof of origin of logs is becoming increasingly important. In the context of Industry 4.0 and to combat illegal logging there is an increasing motivation to track each individual log. Our previous works in this field focused on log tracking usin
Externí odkaz:
http://arxiv.org/abs/2101.04450
Novel imaging technologies raise many questions concerning the adaptation of computer-aided decision support systems. Classification models either need to be adapted or even newly trained from scratch to exploit the full potential of enhanced techniq
Externí odkaz:
http://arxiv.org/abs/2004.12604
Akademický článek
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Publikováno v:
Int. J. Numer. Model., 2017, e2227
For time integration of transient eddy current problems commonly implicit time integration methods are used, where in every time step one or several nonlinear systems of equations have to be linearized with the Newton-Raphson method due to ferromagne
Externí odkaz:
http://arxiv.org/abs/1701.03009
Publikováno v:
In Computerized Medical Imaging and Graphics December 2020 86
Autor:
Alba, Diego Rafael, Roos, Arne, Wimmer, Georg, Gonzalez, Arnaldo Ruben, Hanke, Stefanie, Santos, Jorge Fernandez dos
Publikováno v:
In Journal of Materials Research and Technology April 2019 8(2):1701-1711
Autor:
Wimmer, Georg, Gadermayr, Michael, Kwitt, Roland, Häfner, Michael, Tamaki, Toru, Yoshida, Shigeto, Tanaka, Shinji, Merhof, Dorit, Uhl, Andreas
Publikováno v:
In Computers in Biology and Medicine 1 November 2018 102:251-259