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Titlebook: Intelligence Science and Big Data Engineering; 7th International Co Yi Sun,Huchuan Lu,Hua Huang Conference proceedings 2017 Springer Intern

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楼主: legerdemain
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Conference proceedings 2017n, China, in September 2017.The  48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal p
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Similarity Degree for Multi-Attribute Decision Making with Incomplete Dual Hesitant Fuzzy Setslarity aggregation matrix are introduced. Then a complete dual hesitant fuzzy matrix (CDHFM) is obtained by using the maximum similarity to complement the data. An investment selection example is provided to illustrate the validity and applicability of the proposed method.
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CNN-Based Age Classification via Transfer Learningoposed AvgOut-FC Layer to enhance the performance of the models over Audience. We have achieved better results over the Adience benchmark than previous works, which demonstrated the effectiveness of our methods.
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A Hybrid Multi-swarm PSO Algorithm Based on Shuffled Frog Leaping Algorithmhe shuffled frog leaping algorithm. Moreover, a new information communication strategy is proposed. The cooperation of these three strategies maintains the diversity of algorithm and improves the ability of searching the optimal solution. Finally, the experimental results on the benchmark functions verify the effectiveness of the proposed PSO.
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A Unified Confidence Measure Framework Using Auxiliary Normalization Graphrch space and the confidence measure can be grouped into an unified framework. Experiments on three typical ASR applications show that the proposed method using a unified confidence measure framework achieves comparable performance to the separately optimized system on each task.
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Image Fusion Using Pulse Coupled Neural Network and CNNw-frequency information, respectively. The traditional PCNN is improved to be responsible for selecting the coefficients of the sub-images. Experimental results indicate that the proposed method has obvious superiorities over the current main-streamed ones in terms of fusion performance and computational complexity.
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Deep Attentive Structured Language Model Based on LSTMluated on Penn Treebank, Chinese short message and Swb-Fisher corpora. The experiments in language modeling show that our model achieves significant improvements compared to the conventional LSTM language model.
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der Pylorusteil und die kleine Kurvatur herabgesunken waren, d. h. sich aus ihrer gewöhnlichen Stellung dicht unter der Leber entfernt hatten, indem die Bänder hier gelockert waren. Während die totale Gastroptose ziemlich selten war, wurde die teilweise Senkung als sehr gewöhnlich, besonders bei Fra
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