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  • Conference proceedings
  • © 2016

Artificial Neural Networks in Pattern Recognition

7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9896)

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 2016.

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Table of contents (27 papers)

  1. Front Matter

    Pages I-XI
  2. Invited Papers

    1. Front Matter

      Pages 1-1
    2. Learning Sequential Data with the Help of Linear Systems

      • Luca Pasa, Alessandro Sperduti
      Pages 3-17
    3. A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)

      • Vivienne Breen, Nikola Kasabov, Peng Du, Stefan Calder
      Pages 18-25
  3. Learning Algorithms and Architectures

    1. Front Matter

      Pages 27-27
    2. Incremental Construction of Low-Dimensional Data Representations

      • Alexander Kuleshov, Alexander Bernstein
      Pages 55-67
    3. Density Based Clustering via Dominant Sets

      • Jian Hou, Weixue Liu, Xu E
      Pages 80-91
    4. Co-training with Credal Models

      • Yann Soullard, Sébastien Destercke, Indira Thouvenin
      Pages 92-104
    5. Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization

      • Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser
      Pages 105-116
    6. On the Harmony Search Using Quaternions

      • João Papa, Danillo Pereira, Alexandro Baldassin, Xin-She Yang
      Pages 126-137
    7. Learning Parameters in Deep Belief Networks Through Firefly Algorithm

      • Gustavo Rosa, João Papa, Kelton Costa, Leandro Passos, Clayton Pereira, Xin-She Yang
      Pages 138-149
    8. On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM

      • Baptiste Wicht, Andreas Fischer, Jean Hennebert
      Pages 163-174
    9. Comparing Incremental Learning Strategies for Convolutional Neural Networks

      • Vincenzo Lomonaco, Davide Maltoni
      Pages 175-184
    10. Approximation of Graph Edit Distance by Means of a Utility Matrix

      • Kaspar Riesen, Andreas Fischer, Horst Bunke
      Pages 185-194
  4. Applications

    1. Front Matter

      Pages 195-195

Other Volumes

  1. Artificial Neural Networks in Pattern Recognition

About this book

This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.

The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.

 

Editors and Affiliations

  • Ulm University, Ulm, Germany

    Friedhelm Schwenker

  • Ain Shams University , Cairo, Egypt

    Hazem M. Abbas

  • Cairo University , Orman, Egypt

    Neamat El Gayar

  • Universitá di Siena , Siena, Italy

    Edmondo Trentin

Bibliographic Information

Buy it now

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 79.99
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