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Neural Information Processing

21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I

  • Chu Kiong Loo
  • Keem Siah Yap
  • Kok Wai Wong
  • Andrew Teoh
  • Kaizhu Huang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8834)

Table of contents

  1. Front Matter
  2. Cognitive Science

    1. Md. Hedayetul Islam Shovon, D (Nanda) Nandagopal, Ramasamy Vijayalakshmi, Jia Tina Du, Bernadine Cocks
      Pages 1-10
    2. Ukeob Park, Rammohan Mallipeddi, Minho Lee
      Pages 11-18
    3. Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
      Pages 19-26
    4. Krishna Prasad Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
      Pages 35-41
    5. Fernández López Pablo, García Báez Patricio, Suárez Araujo Carmen Paz
      Pages 50-58
    6. Altaf Hussain Abro, Michel C. A. Klein, Adnan R. Manzoor, Seyed Amin Tabatabaei, Jan Treur
      Pages 59-68
  3. Neural Networks and Learning Systems - Theory and Design

    1. Son N. Tran, Artur d’Avila Garcez
      Pages 69-77
    2. Enmei Tu, Jie Yang, Zhenghong Jia, Nicola Kasabov
      Pages 86-94
    3. Jing Xian Teo, Henry Lee Seldon
      Pages 95-102
    4. Yingjie Gu, Zhong Jin, Steve C. Chiu
      Pages 103-110
    5. Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah
      Pages 127-134
    6. Saeed Panahian Fard, Zarita Zainuddin
      Pages 135-142
    7. Hirotaka Inoue
      Pages 143-150
    8. Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo
      Pages 151-158
    9. Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
      Pages 159-166
    10. Kenzaburo Fujiwara, Takuma Tanaka, Kiyohiko Nakamura
      Pages 183-190
    11. Suiwu Zheng, Linshan Liu, Hong Qiao
      Pages 191-198
    12. Mirza M. Baig, Mian. M. Awais, El-Sayed M. El-Alfy
      Pages 199-206
    13. Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah
      Pages 207-214
    14. Hui Wei, Zheng Dong, Qiang Li
      Pages 239-246
    15. László Szilágyi, Sándor Miklós Szilágyi, Béat Hirsbrunner
      Pages 247-254
    16. Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane, Yasunao Katayama
      Pages 255-262
    17. Anjin Liu, Guangquan Zhang, Jie Lu
      Pages 263-270
    18. Wai Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng
      Pages 271-278
    19. Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum
      Pages 279-286
    20. Desiree Maldonado Carvalho, Hugo Resende, Mariá C. V. Nascimento
      Pages 287-294
    21. Yusuke Kondo, Koichiro Yamauchi
      Pages 295-303
    22. Victor Parque, Masakazu Kobayashi, Masatake Higashi
      Pages 304-311
    23. Peter Wai Ming Tsang, Chi-Sing Leung
      Pages 312-318
    24. Tom Gedeon, Xuanying Zhu, Kun He, Leana Copeland
      Pages 335-341
  4. Neural Networks and Learning Systems - Applications

    1. Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen et al.
      Pages 350-357
    2. Qing Zhang, Minhua Wu, Zhenbo Luo, Youxin Chen
      Pages 358-365
    3. Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
      Pages 374-381
    4. Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang, Tingwen Huang
      Pages 382-388

Other volumes

  1. Neural Information Processing
    21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I
  2. 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II
  3. 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III

About these proceedings

Introduction

The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 21st International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014.
The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes,theories and applications, cognitive robotics, and learning systems for social network and web mining.

Keywords

activity recognition artificial intelligence big data bio-inspired computing brain-computer interface cellular automaton cloud computing clustering and classification decision support systems digital signal processing image processing kernel method knowledge extraction machine learning machine learning theory multi agent system neural networks ontology particle swarm optimization pattern recognition recommender systems regression analysis reinforcement learning robotics social network support vector machines time series tracking unsupervised learning virtual machine web mining wikipedia

Editors and affiliations

  • Chu Kiong Loo
    • 1
  • Keem Siah Yap
    • 2
  • Kok Wai Wong
    • 3
  • Andrew Teoh
    • 4
  • Kaizhu Huang
    • 5
  1. 1.Department of Artificial Intelligence, Faculty of Computer Science and Information Technology BuildingUniversity of MalayaKuala LumpurMalaysia
  2. 2.Department of Electronics and Communication Engineering,College of Engineering, Jalan IKRAM-UNITENUniversiti Tenaga NasionalKajangMalaysia
  3. 3.School of Engineering and Information TechnologyMurdoch UniversityMurdochAustralia
  4. 4.Department of Electrical and Electronics EngineeringYonsei UniversitySeoulSouth Korea
  5. 5.Department of Electrical and Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12637-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12636-4
  • Online ISBN 978-3-319-12637-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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