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Titlebook: Industrial Collaboration in Nazi-Occupied Europe; Norway in Context Hans Otto Frøland,Mats Ingulstad,Jonas Scherner Book 2016 The Editor(s)

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Marcel Boldorf method is evaluated on images with Gaussian noise, images with mixed Gaussian and impulse noise, and real noisy photographed images, in comparison with state-of-the-art denoising methods. Experimental results show that our proposed method performs consistently well on all types of noisy images in t
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Talbot Imlayvision pipeline is suitable for home monitoring in a controlled environment, with calorific expenditure estimates above accuracy levels of commonly used manual estimations via METs. With the dataset released, our work establishes a baseline for future research for this little-explored area of comput
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Joachim Lundtput minus the low-resolution input image. Additionally, the output of the network is the residual between the ground truth high-resolution image and previous output. The non-linear property of a neural network is maximized through the sparsity of residual input/output. Thus, we can achieve a lightw
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us enabling an elegant combination of the MSC features with any DCF-based methods. Additionally, a channel reliability measurement (CRM) method is presented to further refine the learned MSC features. We demonstrate the effectiveness of the MSC features learned from the proposed DSNet on two DCF tra
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Andreas D. R. Sanders,Mats Ingulstadition performance. Given this analysis, we train a network that far exceeds the state-of-the-art on the IJB-B face recognition dataset. This is currently one of the most challenging public benchmarks, and we surpass the state-of-the-art on both the identification and verification protocols.
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