Artificial Neural Networks and Machine Learning – ICANN 2011

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

  • Timo Honkela
  • Włodzisław Duch
  • Mark Girolami
  • Samuel Kaski
Conference proceedings ICANN 2011

DOI: 10.1007/978-3-642-21735-7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6791)

Table of contents (47 papers)

  1. Front Matter
  2. Transformation Equivariant Boltzmann Machines
    Jyri J. Kivinen, Christopher K. I. Williams
    Pages 1-9
  3. Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines
    KyungHyun Cho, Alexander Ilin, Tapani Raiko
    Pages 10-17
  4. A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex
    David P. Reichert, Peggy Series, Amos J. Storkey
    Pages 18-25
  5. 1-Penalized Linear Mixed-Effects Models for BCI
    Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller
    Pages 26-35
  6. Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces
    Sven Dähne, Johannes Höhne, Martijn Schreuder, Michael Tangermann
    Pages 36-43
  7. Transforming Auto-Encoders
    Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
    Pages 44-51
  8. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
    Jonathan Masci, Ueli Meier, Dan Cireşan, Jürgen Schmidhuber
    Pages 52-59
  9. ESN Intrinsic Plasticity versus Reservoir Stability
    Petia Koprinkova-Hristova, Guenther Palm
    Pages 69-76
  10. Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations
    Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Fearghal Morgan
    Pages 77-84
  11. Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism
    Matthew Cook, Florian Jug, Christoph Krautz
    Pages 101-108
  12. Unsupervized Data-Driven Partitioning of Multiclass Problems
    Hernán C. Ahumada, Guillermo L. Grinblat, Pablo M. Granitto
    Pages 117-125
  13. Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks
    Giorgio Gnecco, Věra Kůrková, Marcello Sanguineti
    Pages 126-133
  14. An Improved Training Algorithm for the Linear Ranking Support Vector Machine
    Antti Airola, Tapio Pahikkala, Tapio Salakoski
    Pages 134-141
  15. Extending Tree Kernels with Topological Information
    Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
    Pages 142-149
  16. Accelerating Kernel Neural Gas
    Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
    Pages 150-158

Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2011
    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 reinforcement 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

  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21734-0
  • Online ISBN 978-3-642-21735-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349