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Artificial Neural Networks in Pattern Recognition

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

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Friedhelm Schwenker

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

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  2. Simone Marinai

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

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    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)

Included in the following conference series:

Conference proceedings info: ANNPR 2006.

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Table of contents (26 papers)

  1. Front Matter

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  2. Unsupervised Learning

    1. Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions

      • Edmondo Trentin
      Pages 1-10

    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

    2. Incremental Training of Support Vector Machines Using Truncated Hypercones

      • Shinya Katagiri, Shigeo Abe
      Pages 153-164

    3. Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques

      • Yusuke Torii, Shigeo Abe
      Pages 165-176

  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
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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

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