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Neural Information Processing [electronic resource] :25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV /

Contributor(s): Cheng, Long [editor.] | Leung, Andrew Chi Sing [editor.] | Ozawa, Seiichi [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 11304Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXII, 699 p. 279 illus., 216 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030042127.Subject(s): Computer Science | Optical pattern recognition | Artificial intelligence | Data mining | Computer vision | Software engineering | Computer science | Pattern Recognition | Artificial Intelligence | Data Mining and Knowledge Discovery | Image Processing and Computer Vision | Software Engineering/Programming and Operating Systems | User Interfaces and Human Computer InteractionOnline resources: Click here to access online In: Springer eBooksSummary: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, 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 across different domains. The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection. .
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The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, 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 across different domains. The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection. .

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