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Progress in Neural Networks - Volume 6
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Progress in Neural Networks - Volume 6

Progress in Neural Networks - Volume 6

Shape recognition

Omid M. Omidvar

234 pages, parution le 10/05/1999

Résumé

The volumes in this series review current research in natural and
synthetic neural networks, as well as reviews state-of-the-art
research in modeling, analysis, design, and development of neural
networks in software and hardware areas. Contributions from leading
researchers and practitioners shape academic and professional
programs in this area, and serve as a platform for detailed and
expanded discussion of topics of interest to the neural network and
cognitive information processing communities. The series will be of
interest to those professionally involved in neural networks
research, such as lecturers and primary investigators in neural
computing, modeling, learning, memory and neurocomputers.

Contents

  • Integration of Geometry, Physics, and Qualitative Techniques for
    Shape and Nonrigid Motion
  • On the Computational Complexity of
    Analyzing the Hopfield-Clique Network
  • Cortical Images,
    Self-Organizing Neural Networks, amd Object Classification
  • Shape
    Matching Based on Invariants
  • A Harmony-Maximization Network
    Implementation of a Compound Labelling Scheme for Scene Analysis
  • Boolean Neural Network Trained With Simulated Annealing
  • Parallel
    Implementation of a Neural Network Ensemble on the Connection
    Machine

Caractéristiques techniques

  PAPIER
Éditeur(s) Intellect Books
Auteur(s) Omid M. Omidvar
Parution 10/05/1999
Nb. de pages 234
Format 18 x 23,5
Poids 500g
EAN13 9781567503289

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