• Medientyp: E-Book
  • Titel: Neural Information Processing : 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I
  • Beteiligte: Cheng, Long [HerausgeberIn]; Leung, Andrew Chi Sing [HerausgeberIn]; Ozawa, Seiichi [HerausgeberIn]
  • Erschienen: Cham: Springer International Publishing, 2018
  • Erschienen in: Theoretical Computer Science and General Issues ; 11301
    SpringerLink ; Bücher
  • Umfang: Online-Ressource (XXII, 647 p. 268 illus., 219 illus. in color, online resource)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-030-04167-0
  • ISBN: 9783030041670
  • Identifikator:
  • Schlagwörter: Optical pattern recognition ; Computer science ; Computer vision ; Artificial intelligence ; Data mining ; Software engineering ; Pattern Recognition ; Optical data processing. ; User interfaces (Computer systems). ; Pattern recognition systems. ; Human-computer interaction.
  • Reproduktionsreihe: Springer eBook Collection. Computer Science
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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 first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks