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Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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楼主: fasten
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Teach to Hash: A Deep Supervised Hashing Framework with Data Selection update the training set with the most effective ones. Experimental results on two typical image datasets indicate that the introduced “teacher” can significantly improve the performance of deep hashing framework and the proposed method outperforms the state-of-the-art hashing methods.
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Understanding Deep Neural Network by Filter Sensitive Area Generation Networkter mask operation. Experiments on multiple datasets and networks show that FSAGN clarifies the knowledge representations of each filter and how small disturbance on specific object parts affects the performance of CNNs.
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Multi-view Deep Gaussian Processesexible and powerful. In contrast with the DGPs, MvDGPs support asymmetrical modeling depths for different view of data, resulting in better characterizations of the discrepancies among different views. Experimental results on multiple multi-view data sets have verified the flexibilities and effectiveness of the proposed model.
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0302-9743 , ICONIP 2018, held in Siem Reap, Cambodia, in December 2018..The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques acros
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