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Neural Information Processing

14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Masumi Ishikawa
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  2. Kenji Doya
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  3. Hiroyuki Miyamoto
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  4. Takeshi Yamakawa
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4985)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2007.

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Table of contents (112 papers)

  1. Robotics

    1. Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation

      • Takashi Omori, Ayami Yokoyama, Hiroyuki Okada, Satoru Ishikawa, Yugo Nagata
      Pages 185-192

    2. Interpolation and Extrapolation of Motion Patterns in the Proto-symbol Space

      • Tetsunari Inamura, Tomohiro Shibata
      Pages 193-202

    3. Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-organizing Nonmonotonicity

      • Hideki Kadone, Yoshihiko Nakamura
      Pages 203-213

    4. From Biologically Realistic Imitation to Robot Teaching Via Human Motor Learning

      • Erhan Oztop, Jan Babic, Joshua Hale, Gordon Cheng, Mitsuo Kawato
      Pages 214-221

    5. Vowel Imitation Using Vocal Tract Model and Recurrent Neural Network

      • Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, Hiroshi G. Okuno
      Pages 222-232

    6. Policy Learning for Motor Skills

      • Jan Peters, Stefan Schaal
      Pages 233-242

    7. Task Learning Based on Reinforcement Learning in Virtual Environment

      • Tadashi Tsubone, Kenichi Kurimoto, Koichi Sugiyama, Yasuhiro Wada
      Pages 243-253

  2. Data Mining and Knowledge Discovery

    1. Resolving Hidden Representations

      • Cheng-Yuan Liou, Wei-Chen Cheng
      Pages 254-263

    2. Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search

      • Tao Ban
      Pages 264-273

    3. Spherical and Torus SOM Approaches to Metabolic Syndrome Evaluation

      • Peter K. Kihato, Heizo Tokutaka, Masaaki Ohkita, Kikuo Fujimura, Kazuhiko Kotani, Yoichi Kurozawa et al.
      Pages 274-284

    4. A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data

      • Jacek Biesiada, WÅ‚odzisÅ‚aw Duch
      Pages 285-294

    5. Information Geometry and Information Theory in Machine Learning

      • Kazushi Ikeda, Kazunori Iwata
      Pages 295-304

    6. Natural Conjugate Gradient in Variational Inference

      • Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen
      Pages 305-314

    7. A Robust ICA-Based Adaptive Filter Algorithm for System Identification Using Stochastic Information Gradient

      • Jun-Mei Yang, Hideaki Sakai
      Pages 315-325

    8. Component Reduction for Hierarchical Mixture Model Construction

      • Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi
      Pages 326-335

    9. Learning a Kernel Matrix for Time Series Data from DTW Distances

      • Hiroyuki Narita, Yasumasa Sawamura, Akira Hayashi
      Pages 336-345

    10. Neural Network Method for Protein Structure Search Using Cell-Cell Adhesion

      • Cheng-Yuan Liou, Cheng-Jung Ho
      Pages 346-355

    11. Unsupervised Anomaly Detection Using HDG-Clustering Algorithm

      • Cheng-Fa Tsai, Chia-Chen Yen
      Pages 356-365

    12. A New Association Rule Mining Algorithm

      • B. Chandra, Gaurav
      Pages 366-375

    13. A Multi-agent Architecture Based Cooperation and Intelligent Decision Making Method for Multirobot Systems

      • Tao Yang, Jia Ma, Zeng-Guang Hou, Gang Peng, Min Tan
      Pages 376-385
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

Keywords

About this book

The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology.

The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.

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