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Titlebook: Space Flight and Re-Entry Trajectories; International Sympos Paul A. Libby Conference proceedings 1962 Wien · Springer-Verlag 1962 astronau

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P. Contensous in Noise92 and Voice Bank clean speech according to the specified signal-to-noise ratio (SNR). The results show that the proposed method improves on the original one, and has better robustness to speech containing babble noise at higher SNRs for different SNRs.
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ss imbalance problem that exists in the dataset as one class represents over 50% of the samples. This study explores a range of feature extraction and data undersampling and over-sampling techniques to improve classification accuracy. Using these methods, this study was able to achieve accuracy of o
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W. F. Hilton D.Sc., Ph.D., F.B.I.S., F.R.Ae.S.mportant problem is low resolution face images which can result in bad performance on face recognition. The modern face hallucination models demonstrate reasonable performance to reconstruct high-resolution images from its corresponding low resolution images. However, they do not consider identity l
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J. V. Becker,D. L. Baradell,E. B. Pritchardiminatory regions and learn fine-grained details, which often treat each object part attention independently while neglecting the correlations among them and may lead them attentive to the same distinctive features. In this paper, we proposed a novel fine-grained visual recognition method to solve t
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D. G. King-Heled an advantage of a deep structure in realizing a heaviside function in training. This is significant not only as simple classification problems but also as a basis in constructing general non-smooth functions. A heaviside function can be well approximated by a difference of ReLUs if we can set extr
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