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  • Conference proceedings
  • © 2008

Artificial Neural Networks in Pattern Recognition

Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5064)

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 2008.

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Table of contents (29 papers)

  1. Front Matter

  2. Unsupervised Learning

    1. Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets

      • Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
      Pages 1-12
    2. The Block Generative Topographic Mapping

      • Rodolphe Priam, Mohamed Nadif, Gérard Govaert
      Pages 13-23
    3. Probabilistic Models Based on the Π-Sigmoid Distribution

      • Anastasios Alivanoglou, Aristidis Likas
      Pages 36-43
  3. Supervised Learning

    1. Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network

      • Jean-François Connolly, Eric Granger, Robert Sabourin
      Pages 66-77
    2. Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics

      • M. Strickert, P. Schneider, J. Keilwagen, T. Villmann, M. Biehl, B. Hammer
      Pages 78-89
    3. Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four

      • Stefan Faußer, Friedhelm Schwenker
      Pages 90-100
    4. Cyclostationary Neural Networks for Air Pollutant Concentration Prediction

      • Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci
      Pages 101-112
    5. Fuzzy Evolutionary Probabilistic Neural Networks

      • V. L. Georgiou, Ph. D. Alevizos, M. N. Vrahatis
      Pages 113-124
    6. Experiments with Supervised Fuzzy LVQ

      • Christian Thiel, Britta Sonntag, Friedhelm Schwenker
      Pages 125-132
    7. A Neural Network Approach to Similarity Learning

      • Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini
      Pages 133-136
  4. Multiple Classifiers

    1. Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics

      • Ludwig Lausser, Malte Buchholz, Hans A. Kestler
      Pages 147-156
    2. Decision Fusion on Boosting Ensembles

      • Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
      Pages 157-167
    3. The Mixture of Neural Networks as Ensemble Combiner

      • Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
      Pages 168-179
    4. Researching on Multi-net Systems Based on Stacked Generalization

      • Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
      Pages 193-204

Other Volumes

  1. Artificial Neural Networks in Pattern Recognition

Keywords

  • artificial neural networks
  • attribute dependence modeling
  • bayesian classifiers
  • bio-inspired computation
  • bioinformatics
  • biometrics
  • clustering
  • computational intelligence
  • data mining
  • dimensionality reduction
  • dynamic classification
  • face recognition
  • machine learning
  • pattern recognition
  • unsupervised learning

Bibliographic Information

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions