Skip to main content
SpringerLink
Log in

Artificial Neural Networks in Pattern Recognition

5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Nadia Mana

    1. Fondazione Bruno Kessler (FBK), Trento, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. 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

  3. Edmondo Trentin

    1. Dipartimento di Ingegneria dell’Informazione, Università di Siena, Siena, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • State-of-the-art research
  • Fast-track conference proceedings
  • Unique visibility

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7477)

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

Included in the following conference series:

Conference proceedings info: ANNPR 2012.

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

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (21 papers)

  1. Front Matter

    Download chapter PDF

  2. Learning Algorithms

    1. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?

      • Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer
      Pages 1-13

    2. Kernel Robust Soft Learning Vector Quantization

      • Daniela Hofmann, Barbara Hammer
      Pages 14-23

    3. Incremental Learning by Message Passing in Hierarchical Temporal Memory

      • Davide Maltoni, Erik M. Rehn
      Pages 24-35

    4. Representative Prototype Sets for Data Characterization and Classification

      • Ludwig Lausser, Christoph Müssel, Hans A. Kestler
      Pages 36-47

    5. Feature Selection by Block Addition and Block Deletion

      • Takashi Nagatani, Shigeo Abe
      Pages 48-59

    6. Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants

      • Michel Tokic, Günther Palm
      Pages 60-71

    7. Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning

      • Edmondo Trentin, Marco Bongini
      Pages 72-81

    8. Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation

      • Marco Bongini, Edmondo Trentin
      Pages 82-92

    9. Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network

      • Andrey V. Savchenko
      Pages 93-103

    10. On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition

      • Miriam Schmidt, Günther Palm, Friedhelm Schwenker
      Pages 104-114

  3. Applications

    1. Improving Iris Recognition through New Target Vectors in MLP Artificial Neural Networks

      • José Ricardo Gonçalves Manzan, Shigueo Nomura, Keiji Yamanaka, Milena Bueno Pereira Carneiro, Antônio C. Paschoarelli Veiga
      Pages 115-126

    2. Robustness of a CAD System on Digitized Mammograms

      • Antonio García-Manso, Carlos J. García-Orellana, Ramón Gallardo-Caballero, Nico Lanconelli, Horacio González-Velasco, Miguel Macías-Macías
      Pages 127-138

    3. Facial Expression Recognition Using Game Theory

      • Kaushik Roy, Mohamed S. Kamel
      Pages 139-150

    4. Classification of Segmented Objects through a Multi-net Approach

      • Alessandro Zamberletti, Ignazio Gallo, Simone Albertini, Marco Vanetti, Angelo Nodari
      Pages 151-162

    5. A Decision Support System for the Prediction of the Trabecular Fracture Zone

      • Vasileios Korfiatis, Simone Tassani, George K. Matsopoulos
      Pages 163-174

    6. Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks

      • Kelwin Fernandez, Carolina Chang
      Pages 175-185

    7. On Instance Selection in Audio Based Emotion Recognition

      • Sascha Meudt, Friedhelm Schwenker
      Pages 186-192

    8. Traffic Sign Classifier Adaption by Semi-supervised Co-training

      • Matthias Hillebrand, Ulrich Kreßel, Christian Wöhler, Franz Kummert
      Pages 193-200

    9. Using Self Organizing Maps to Analyze Demographics and Swing State Voting in the 2008 U.S. Presidential Election

      • Paul T. Pearson, Cameron I. Cooper
      Pages 201-212
Back to top

Other volumes

  1. Artificial Neural Networks in Pattern Recognition

Keywords

About this book

This book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas.

Editors and Affiliations

  • Fondazione Bruno Kessler (FBK), Trento, Italy

    Nadia Mana

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

    Friedhelm Schwenker

  • Dipartimento di Ingegneria dell’Informazione, Università di Siena, Siena, Italy

    Edmondo Trentin

Bibliographic Information

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation