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Neural Information Processing

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Neural Information Processing Synopsis

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues 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.

About This Edition

ISBN: 9783319466804
Publication date: 30th September 2016
Author: Akira Hirose
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 663 pages
Series: Theoretical Computer Science and General Issues
Genres: Pattern recognition
Computer vision
Artificial intelligence
Mathematical theory of computation
Data mining
Expert systems / knowledge-based systems
Applied computing