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Neural Information Processing

23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Akira Hirose

    1. The University of Tokyo, Tokyo, Japan

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  2. Seiichi Ozawa

    1. Kobe University, Kobe, Japan

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  3. Kenji Doya

    1. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

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  4. Kazushi Ikeda

    1. Nara Institute of Science and Technology, Ikoma, Japan

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  5. Minho Lee

    1. Kyungpook National University, Daegu, Korea (Republic of)

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  6. Derong Liu

    1. Chinese Academy of Sciences, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9947)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2016.

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Table of contents (70 papers)

  1. Front Matter

    Pages I-XIX
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  2. Deep and Reinforcement Learning

    1. Front Matter

      Pages 1-1
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    2. Emotion Prediction from User-Generated Videos by Emotion Wheel Guided Deep Learning

      • Che-Ting Ho, Yu-Hsun Lin, Ja-Ling Wu
      Pages 3-12

    3. Deep Q-Learning with Prioritized Sampling

      • Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang et al.
      Pages 13-22

    4. Deep Inverse Reinforcement Learning by Logistic Regression

      • Eiji Uchibe
      Pages 23-31

    5. Parallel Learning for Combined Knowledge Acquisition Model

      • Kohei Henmi, Motonobu Hattori
      Pages 32-39

    6. Emergence of Higher Exploration in Reinforcement Learning Using a Chaotic Neural Network

      • Yuki Goto, Katsunari Shibata
      Pages 40-48

  3. Big Data Analysis

    1. Front Matter

      Pages 49-49
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    2. Establishing Mechanism of Warning for River Dust Event Based on an Artificial Neural Network

      • Yen Hsun Chuang, Ho Wen Chen, Wei Yea Chen, Ya Chin Teng
      Pages 51-60

    3. Harvesting Multiple Resources for Software as a Service Offers: A Big Data Study

      • Asma Musabah Alkalbani, Ahmed Mohamed Ghamry, Farookh Khadeer Hussain, Omar Khadeer Hussain
      Pages 61-71

    4. Cloud Monitoring Data Challenges: A Systematic Review

      • Asif Qumer Gill, Sarhang Hevary
      Pages 72-79

    5. Locality-Sensitive Linear Bandit Model for Online Social Recommendation

      • Tong Zhao, Irwin King
      Pages 80-90

    6. An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems

      • Man-Ching Yuen, Irwin King, Kwong-Sak Leung
      Pages 91-101

  4. Neural Data Analysis

    1. Front Matter

      Pages 103-103
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    2. Rhinal-Hippocampal Information Flow Reverses Between Memory Encoding and Retrieval

      • Juergen Fell, Tobias Wagner, Bernhard P. Staresina, Charan Ranganath, Christian E. Elger, Nikolai Axmacher
      Pages 105-114

    3. Inferred Duality of Synaptic Connectivity in Local Cortical Circuit with Receptive Field Correlation

      • Kohei Watanabe, Jun-nosuke Teramae, Naoki Wakamiya
      Pages 115-122

    4. Identifying Gifted Thinking Activities Through EEG Microstate Topology Analysis

      • Li Zhang, Mingna Cao, Bo Shi
      Pages 123-130

    5. Representation of Local Figure-Ground by a Group of V4 Cells

      • M. Hasuike, Y. Yamane, H. Tamura, K. Sakai
      Pages 131-137

    6. Dynamic MEMD Associated with Approximate Entropy in Patients’ Consciousness Evaluation

      • Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki
      Pages 138-146

  5. Robotics and Control

    1. Front Matter

      Pages 147-147
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

Keywords

About this book

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.

Editors and Affiliations

  • The University of Tokyo, Tokyo, Japan

    Akira Hirose

  • Kobe University, Kobe, Japan

    Seiichi Ozawa

  • Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  • Nara Institute of Science and Technology, Ikoma, Japan

    Kazushi Ikeda

  • Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  • Chinese Academy of Sciences, Beijing, China

    Derong Liu

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