Neural Information Processing 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Zusammenfassung

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Produktdetails

• Mitarbeit: Kazushi Ikeda (Herausgeber), Ikeda Kazushi (Herausgeber), Lee Minho (Herausgeber), Liu Derong (Herausgeber), Seiich Ozawa (Herausgeber), Kenji Doya et al (Herausgeber), Seiichi Ozawa (Herausgeber), Minho Lee (Herausgeber), Hirose Akira (Herausgeber), Ozawa Seiichi (Herausgeber), Doya Kenji (Herausgeber), Derong Liu (Herausgeber), Akira Hirose (Herausgeber), Kenji Doya (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 01.01.2016
• Thema: Ratgeber; Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software
• EAN: 9783319466866
• ISBN: 978-3-31-946686-6
• Anzahl Seiten: 639
• Illustration: XIX, 639 p. 250 illus.
• Abmessung (Verpackung): 17.2 x 3.8 x 22.8 cm
• Gewicht (Verpackung): 990 g
• Serie: Lecture Notes in Computer Science > 9947; Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Themen: C, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Maschinelles Sehen, Bildverstehen, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Computer Vision, Theory of Computation, Image Processing and Computer Vision, pattern recognition, Recommender System, Data Mining and Knowledge Discovery, Computers, Automated Pattern Recognition, Optical data processing, Image processing, Expert systems / knowledge-based systems, Computation by Abstract Devices, particle swarm optimization, self-organizing maps