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

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APEX

Wen-ming Cao,Rui Li,Sheng Qian,Si Wu,Hau-San Wongto the open source research agenda, in particular the liberation of hitherto proprietary software. As noted above, most research on outsourcing has adopted a single perspective: the customer or the supplier (but most often focusing on the customer), while this study considered both the customer (in

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0302-9743 s different domains. The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection. .978-3-030-04211-0978-3-030-04212-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulationdetermined by random numbers were added to each sample. For these sample sets, the conventional methods and the proposed method were applied, and it was examined whether the feature forming the boundary was selected. Our results demonstrate that feature selection was difficult with the conventional methods but possible with our proposed method.

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A Storm-Based Parallel Clustering Algorithm of Streaming Dataat the proposed algorithm can effectively improve the cluster repetition in clustering results and greatly improve the accuracy and efficiency of clustering compared with the traditional Single-Pass algorithm.

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Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentwith spatial Euclidean distance and the difference of the mean color level between the center pixel and its neighborhoods. Experiments over synthetic images, real-world images and brain MR images indicate that the proposed method obtains better segmentation performance, compared to the FCM extended methods.

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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