Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Schuler, Christian"'
Autor:
Ilg, Florian, Stammen, Elisabeth, Abeln, Björn, Schuler, Christian, Dilger, Klaus, Feldmann, Markus
Publikováno v:
In International Journal of Adhesion and Adhesives September 2024 134
Autor:
Efferz, Lena, Thiele, Kerstin, Schuster, Miriam, Schuler, Christian, Siebert, Geralt, Schneider, Jens
Publikováno v:
Glass Structures & Engineering; Jun2024, Vol. 9 Issue 2, p307-320, 14p
We describe a learning-based approach to blind image deconvolution. It uses a deep layered architecture, parts of which are borrowed from recent work on neural network learning, and parts of which incorporate computations that are specific to image d
Externí odkaz:
http://arxiv.org/abs/1406.7444
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. In another paper, we show that multi-layer perceptrons can achieve outstanding image denoising performance for various types of noise (additive white
Externí odkaz:
http://arxiv.org/abs/1211.1552
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with cleverly engineered algorithms. In this work we attempt to learn this ma
Externí odkaz:
http://arxiv.org/abs/1211.1544
Autor:
Hennig, Philipp, Schuler, Christian J.
Contemporary global optimization algorithms are based on local measures of utility, rather than a probability measure over location and value of the optimum. They thus attempt to collect low function values, not to learn about the optimum. The reason
Externí odkaz:
http://arxiv.org/abs/1112.1217
Publikováno v:
Glass Structures & Engineering; Mar2024, Vol. 9 Issue 1, p3-17, 15p
Akademický článek
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Publikováno v:
Glass Structures & Engineering; 20240101, Issue: Preprints p1-16, 16p