TY  - BOOK
AU  - Hirose,Akira
AU  - Ozawa,Seiichi
AU  - Doya,Kenji
AU  - Ikeda,Kazushi
AU  - Lee,Minho
AU  - Liu,Derong
ED  - SpringerLink (Online service)
TI  - Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16?21, 2016, Proceedings, Part I 
T2  - Lecture Notes in Computer Science,
SN  - 9783319466873
AV  - Q337.5 
U1  - 006.4 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Computers
KW  - Data mining
KW  - Artificial intelligence
KW  - Image processing
KW  - Pattern recognition
KW  - Computer Science
KW  - Pattern Recognition
KW  - Image Processing and Computer Vision
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computation by Abstract Devices
KW  - Data Mining and Knowledge Discovery
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-46687-3
ER  -