Neural Information Processing: 23rd International Conference, Iconip 2016, Kyoto, Japan, October 1621, 2016, Proceedings, Part Ii (lecture Notes In Computer Science)

Neural Information Processing: 23rd International Conference, Iconip 2016, Kyoto, Japan, October 1621, 2016, Proceedings, Part Ii (lecture Notes In Computer Science)
by Akira Hirose / / / PDF


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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.

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