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Titlebook: Web Engineering; 19th International C Maxim Bakaev,Flavius Frasincar,In-Young Ko Conference proceedings 2019 Springer Nature Switzerland AG

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發(fā)表于 2025-4-2 23:32:13 | 只看該作者
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Yuwei Liu,Xingming Chen,Yanghui Rao,Haoran Xie,Qing Li,Jun Zhang,Yingchao Zhao,Fu Lee Wangl pro- cessing has been suggested as an approach to solving the problems in com- puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput-
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sion community. During the algorithms for image classification, the strong ability of Convolution Neural Networks (CNNs) in feature learning makes it the most successful approach at the moment. However, the parameters of CNNs model are very huge, and its training usually depends on a large amount of
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