Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 2 Qilian Liang,Xin Liu,Baoju Zhang Conference proceedings 2020 Springer

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https://doi.org/10.1007/978-94-017-3023-5network (GAN) to expand training samples and evaluate the performance of two different label assignment strategies for the generated samples. We also investigate how the number of generated samples influences the re-ID performance. We do several experiments on the Market1501 database, and the experi

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Models of the Solar Photosphereations focused on generator network (.) of GANs to solve the daily challenges. However, rare of them had been aware of the great value of the discriminator network (.). In this paper, we propose a new method of detecting white Gaussian noise and its degree by the discriminator of generative adversar

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