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Titlebook: Religious Epiphanies Across Traditions and Cultures; James Kellenberger Book 2017 The Editor(s) (if applicable) and The Author(s) 2017 epi

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James Kellenberger a multi-attributed artificial face dataset from a one-shot image to train the deep face recognition model. This research seeks to demonstrate how the image synthesis capability of the deep learning methods can construct a face dataset with multiple critical attributes for a recognition process to e
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James Kellenberger presence of various complex scenes with high accuracy. For this purpose, we trained our GAN based CNN model with RGBD input data conditioned on ground-truth information in an adversarial fashion. During training, our proposed model aims to learn the foreground segmentation on the basis of cross-ent
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James Kellenbergerases recognition. There are four kinds of the rice diseases investigated, such as rice blast, bacterial leaf blight, alum poisoning, and leaf folder. A large dataset resolution images from real scenes in the farm were collected for training and evaluation. In this study, the augmentation of image al
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James Kellenbergerd a larger area of blood vessels in contact with cells. This result is consistent with the expected tendency and is considered to be valid in the analysis. We believe that this research will be part of the research to elucidate the mechanisms of blood vessels and cells in the myocardium by improving
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978-3-319-85108-2The Editor(s) (if applicable) and The Author(s) 2017
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