Skip to main content
SpringerLink
Log in
Book cover
  • Conference proceedings
  • © 2006

Artificial Neural Networks in Pattern Recognition

Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings

Editors:

  1. Friedhelm Schwenker

    1. Institute of Neural Information Processing, University of Ulm, Ulm, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Simone Marinai

    1. Dipartimento di Sistemi e Informatica, Università di Firenze, Firenze, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4087)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ANNPR: IAPR Workshop on Artificial Neural Networks in Pattern Recognition

Conference proceedings info: ANNPR 2006.

Sections

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (26 papers)

  1. Front Matter

    PDF

  2. Unsupervised Learning

    2. Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition

      • Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
      Pages 11-20

    3. Adaptive Feedback Inhibition Improves Pattern Discrimination Learning

      • Frank Michler, Thomas Wachtler, Reinhard Eckhorn
      Pages 21-32

  3. Semi-supervised Learning

    1. Supervised Batch Neural Gas

      • Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann
      Pages 33-45

    2. Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes

      • Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer
      Pages 46-56

    3. On the Effects of Constraints in Semi-supervised Hierarchical Clustering

      • Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker
      Pages 57-66

    4. A Study of the Robustness of KNN Classifiers Trained Using Soft Labels

      • Neamat El Gayar, Friedhelm Schwenker, Günther Palm
      Pages 67-80

  4. Supervised Learning

    1. An Experimental Study on Training Radial Basis Functions by Gradient Descent

      • Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 81-92

    2. A Local Tangent Space Alignment Based Transductive Classification Algorithm

      • Jianwei Yin, Xiaoming Liu, Zhilin Feng, Jinxiang Dong
      Pages 93-106

    3. Incremental Manifold Learning Via Tangent Space Alignment

      • Xiaoming Liu, Jianwei Yin, Zhilin Feng, Jinxiang Dong
      Pages 107-121

    4. A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware

      • Johannes Fieres, Karlheinz Meier, Johannes Schemmel
      Pages 122-132

    5. Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks

      • Hilario López García, Iván Machón González
      Pages 133-143

  5. Support Vector Learning

    1. Support Vector Regression Using Mahalanobis Kernels

      • Yuya Kamada, Shigeo Abe
      Pages 144-152

  6. Multiple Classifier Systems

    1. Multiple Classifier Systems for Embedded String Patterns

      • Barbara Spillmann, Michel Neuhaus, Horst Bunke
      Pages 177-187

    2. Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images

      • Lionel Prevost, Rachid Belaroussi, Maurice Milgram
      Pages 188-197

    3. Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory

      • Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm
      Pages 198-209

    4. Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization

      • Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 210-220
Back to top

Other Volumes

  1. Artificial Neural Networks in Pattern Recognition

Back to top

Keywords

Back to top

Editors and Affiliations

  • Institute of Neural Information Processing, University of Ulm, Ulm, Germany

    Friedhelm Schwenker

  • Dipartimento di Sistemi e Informatica, Università di Firenze, Firenze, Italy

    Simone Marinai

Back to top

Bibliographic Information

Back to top

Publish with us

Policies and ethics

Back to top

Societies and partnerships

Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Search

Navigation