Volume 30 1987

Pattern Recognition Theory and Applications

Editors:

ISBN: 978-3-642-83071-6 (Print) 978-3-642-83069-3 (Online)

Table of contents (43 chapters)

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  1. Front Matter

    Pages I-XI

  2. Statistical Methods and Clustering Techniques

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      Pages 1-19

      Advances in Statistical Pattern Recognition

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      Pages 21-33

      Texture Subspaces

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      Pages 35-46

      Automatic Selection of a Discrimination Rule Based upon Minimization of the Empirical Risk

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      Pages 47-55

      Linear Models in Spatial Discriminant Analysis

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      Pages 57-62

      Non Supervised Classification Tools Adapted to Supervised Classification

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      Pages 63-71

      The Bootstrap Approach to Clustering

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      Pages 73-79

      On the Distribution Equivalence in Cluster Analysis

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      Pages 81-97

      Spatial Point Processes and Clustering Tendency in Exploratory Data Analysis

  3. Probabilistic Relaxation Techniques

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      Pages 99-108

      Relaxation Labelling

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      Pages 109-117

      Optimisation Algorithms in Probabilistic Relaxation Labelling

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      Pages 119-131

      Feature Point Matching Using Temporal Smoothness in Velocity

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      Pages 133-140

      Multiresolutional Cluster Segmentation Using Spatial Context

  4. From Markovian to Connectionist Models

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      Book Chapter

      Pages 141-163

      Learning the Parameters of a Hidden Markov Random Field Image Model: A Simple Example

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      Pages 165-177

      Locating Texture and Object Boundaries

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      Pages 179-192

      Simulated Annealing: A Pedestrian Review of the Theory and Some Applications

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      Pages 193-201

      The Detection of Geological Fault Lines in Radar Images

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      Pages 203-209

      Speech Recognition Experiment with 10,000 Words Dictionary

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      Pages 211-222

      Adaptive Networks and Speech Pattern Processing

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      Pages 223-247

      Energy Methods in Connectionist Modelling

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      Book Chapter

      Pages 249-268

      Learning and Associative Memory

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