Neural Information Processing

1. Front Matter

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2. An Improved ISOMAP for Visualization and Classification of Multiple Manifolds

   • Wang Hong-Yuan, Ding Xiu-Jie, Cheng Qi-Cai, Chen Fu-Hua

   Pages 1-12

3. Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization

   • Kazushi Ikeda, Akira Hontani

   Pages 13-18

4. A Median Variant of Generalized Learning Vector Quantization

   • David Nebel, Barbara Hammer, Thomas Villmann

   Pages 19-26

5. MISUP: Multiple-Instance Learning via Immunological Suppression Mechanism

   • Duzhou Zhang, Xibin Cao

   Pages 27-34

6. Contextual Bandits for Context-Based Information Retrieval

   • Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski

   Pages 35-42

7. Density Estimation Method Based on Self-organizing Incremental Neural Networks and Error Estimation

   • Xiong Xiao, Hongwei Zhang, Osamu Hasegawa

   Pages 43-50

8. Genetic Network Programming with Simplified Genetic Operators

   • Xianneng Li, Wen He, Kotaro Hirasawa

   Pages 51-58

9. Hierarchical Clustering for Local Time Series Forecasting

   • Aymen Cherif, Hubert Cardot, Romuald Boné

   Pages 59-66

10. Multi-regularization for Fuzzy Co-clustering

    • Vikas K. Garg, Sneha Chaudhari, Ankur Narang

    Pages 67-75

11. Dynamic Ensemble of Ensembles in Nonstationary Environments

    • Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao

    Pages 76-83

12. Improvement of the Relaxation Procedure in Concurrent Q-Learning

    • Kazunori Murakami, Tomoko Ozeki

    Pages 84-91

13. Modularity Embedding

    • Wenye Li

    Pages 92-99

14. Modularity Segmentation

    • Wenye Li

    Pages 100-107

15. Brand-Centric Recommendation with Inter-brand Similarities

    • Hyojung Shin, Seungjin Choi

    Pages 108-115

16. Flexible Nonparametric Kernel Learning with Different Loss Functions

    • En-Liang Hu, James T. Kwok

    Pages 116-123

17. Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification

    • Tien-Vu Nguyen, Dinh Phung, Svetha Venkatesh

    Pages 124-131

18. Training Neural Networks with Implicit Variance

    • Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt

    Pages 132-139

19. One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally

    • Rui Zhang, Kaizhu Huang

    Pages 140-147

20. Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition

    • Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu

    Pages 148-155

The three volume set LNCS 8226, LNCS 8227 and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

• activity recognition
• artificial intelligence
• image processing
• machine learning
• pattern recognition

• Kyungpook National University, Taegu, Korea

  Minho Lee

• The University of Tokyo, Bunkyo-ku, Japan

  Akira Hirose

• Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, Beijing, China

  Zeng-Guang Hou

• Sungkyunkwan University, Suwon, Korea

  Rhee Man Kil

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