Artificial Neural Networks and Machine Learning – ICANN 2011

21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II

  • Timo Honkela
  • Włodzisław Duch
  • Mark Girolami
  • Samuel Kaski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6792)

Table of contents

  1. Front Matter
  2. Marcel A. J. van Gerven, Eric Maris, Tom Heskes
    Pages 1-8
  3. Nicolas Heess, Nicolas Le Roux, John Winn
    Pages 9-16
  4. Andrey Eliseyev, Alim-Louis Benabid, Tatiana Aksenova
    Pages 17-24
  5. I. M. Karandashev, B. V. Kryzhanovsky
    Pages 25-31
  6. Mohamed Oubbati, Josef Frick, Günther Palm
    Pages 32-39
  7. Emmanouil Hourdakis, Panos Trahanias
    Pages 48-55
  8. Nandita Tripathi, Michael Oakes, Stefan Wermter
    Pages 64-70
  9. Mirosław Kordos, Marcin Blachnik, Tadeusz Wieczorek
    Pages 71-78
  10. Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas
    Pages 79-86
  11. Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot
    Pages 87-94
  12. Paméla Daum, Jean-Luc Buessler, Jean-Philippe Urban
    Pages 95-102
  13. Ingrid Brænne, Jeanette Erdmann, Amir Madany Mamlouk
    Pages 111-118
  14. Andreea Lazar, Gordon Pipa, Jochen Triesch
    Pages 127-134
  15. Jorge López, Álvaro Barbero, José R. Dorronsoro
    Pages 135-142

Other volumes

  1. 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I
  2. Artificial Neural Networks and Machine Learning – ICANN 2011
    21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II

About these proceedings

Introduction

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Keywords

biomedical image analysis kernel methods multimodal interfaces reinforcment learning self-organization

Editors and affiliations

  • Timo Honkela
    • 1
  • Włodzisław Duch
    • 2
  • Mark Girolami
    • 3
  • Samuel Kaski
    • 1
  1. 1.Department of Information and Computer ScienceAalto University School of ScienceAaltoFinland
  2. 2.School of Physics, Astronomy and Informatics, Department of InformaticsNicolaus Copernicus UniversityTorunPoland
  3. 3.Department of Statistical ScienceUniversity College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21738-8
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21737-1
  • Online ISBN 978-3-642-21738-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book