Neural Information Processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II / edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu.

Format:

• Book

Contributor:

• Hirose, Akira, editor.
• Ozawa, Seiichi, editor.
• Doya, Kenji, editor.
• Ikeda, Kazushi, editor.
• Lee, Minho, editor.
• Liu, Derong, editor.
• SpringerLink (Online service)

Series:

• Computer Science (Springer-11645)
• LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 9948.
• Theoretical Computer Science and General Issues ; 9948

Language:

English

Subjects (All):

• Pattern perception.
• Optical data processing.
• Artificial intelligence.
• Computers.
• Data mining.
• Application software.
• Pattern Recognition.
• Image Processing and Computer Vision.
• Artificial Intelligence.
• Computation by Abstract Devices.
• Data Mining and Knowledge Discovery.
• Information Systems Applications (incl. Internet).

Local Subjects:

• Pattern Recognition.
• Image Processing and Computer Vision.
• Artificial Intelligence.
• Computation by Abstract Devices.
• Data Mining and Knowledge Discovery.
• Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XIX, 739 pages) : 252 illustrations.

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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. .

Contents:

• 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.

Other Format:

Printed edition:

ISBN:

• 978-3-319-46672-9
• 9783319466729

Access Restriction:

Restricted for use by site license.