LEADER 04514nam 22007575 450 001 9910483782703321 005 20230329175138.0 010 $a3-319-46687-9 024 7 $a10.1007/978-3-319-46687-3 035 $a(CKB)3710000000872960 035 $a(DE-He213)978-3-319-46687-3 035 $a(MiAaPQ)EBC6282911 035 $a(MiAaPQ)EBC5576489 035 $a(Au-PeEL)EBL5576489 035 $a(OCoLC)960195458 035 $a(PPN)195511352 035 $a(EXLCZ)993710000000872960 100 $a20160928d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing$b[electronic resource] $e23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16?21, 2016, Proceedings, Part I /$fedited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIX, 639 p. 250 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9947 311 $a3-319-46686-0 327 $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. 330 $aThe four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9947 606 $aPattern recognition systems 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer science 606 $aData mining 606 $aAutomated Pattern Recognition 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aData Mining and Knowledge Discovery 615 0$aPattern recognition systems. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aData mining. 615 14$aAutomated Pattern Recognition. 615 24$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aData Mining and Knowledge Discovery. 676 $a006.32 702 $aHirose$b Akira$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOzawa$b Seiichi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDoya$b Kenji$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIkeda$b Kazushi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLee$b Minho$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Derong$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483782703321 996 $aNeural Information Processing$92554499 997 $aUNINA