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024 7 _a10.1007/978-3-319-46687-3
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245 1 0 _aNeural Information Processing
_h[electronic resource] :
_b23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I /
_cedited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIX, 639 p. 250 illus.
_bonline resource.
336 _atext
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_2rdacontent
337 _acomputer
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338 _aonline resource
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v9947
505 0 _aDeep 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.
520 _aThe 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.
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer vision.
_9162191
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aData mining.
_93907
650 1 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Vision.
_9162192
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9162193
650 2 4 _aData Mining and Knowledge Discovery.
_9162194
700 1 _aHirose, Akira.
_eeditor.
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700 1 _aOzawa, Seiichi.
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700 1 _aDoya, Kenji.
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_9162197
700 1 _aIkeda, Kazushi.
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_9162198
700 1 _aLee, Minho.
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_9162199
700 1 _aLiu, Derong.
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aTheoretical Computer Science and General Issues,
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