Pattern Recognition Theory and Applications

✍ Scribed by Anil K. Jain (auth.), Pierre A. Devijver, Josef Kittler (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1987
• Tongue: English
• Leaves: 530
• Series: NATO ASI Series 30
• Edition: 1
• Category: Library

✦ Synopsis

This book is the outcome of a NATO Advanced Study Institute on Pattern Recog­ nition Theory and Applications held in Spa-Balmoral, Belgium, in June 1986. This Institute was the third of a series which started in 1975 in Bandol, France, at the initia­ tive of Professors K. S. Fu and A. Whinston, and continued in 1981 in Oxford, UK, with Professors K. S. Fu, J. Kittler and L. -F. Pau as directors. As early as in 1981, plans were made to pursue the series in about 1986 and possibly in Belgium, with Professor K. S. Fu and the present editors as directors. Unfortunately, Ie sort en decida autrement: Professor Fu passed away in the spring of 1985. His sudden death was an irreparable loss to the scientific community and to all those who knew him as an inspiring colleague, a teacher or a dear friend. Soon after, Josef Kittler and I decided to pay a small tribute to his memory by helping some of his plans to materialize. With the support of the NATO Scientific Affairs Division, the Institute became a reality. It was therefore but natural that the proceedings of the Institute be dedicated to him. The book contains most of the papers that were presented at the Institute. Papers are grouped along major themes which hopefully represent the major areas of contem­ porary research. These are: 1. Statistical methods and clustering techniques 2. Probabilistic relaxation techniques 3. From Markovian to connectionist models 4.

✦ Table of Contents

Front Matter....Pages I-XI
Advances in Statistical Pattern Recognition....Pages 1-19
Texture Subspaces....Pages 21-33
Automatic Selection of a Discrimination Rule Based upon Minimization of the Empirical Risk....Pages 35-46
Linear Models in Spatial Discriminant Analysis....Pages 47-55
Non Supervised Classification Tools Adapted to Supervised Classification....Pages 57-62
The Bootstrap Approach to Clustering....Pages 63-71
On the Distribution Equivalence in Cluster Analysis....Pages 73-79
Spatial Point Processes and Clustering Tendency in Exploratory Data Analysis....Pages 81-97
Relaxation Labelling....Pages 99-108
Optimisation Algorithms in Probabilistic Relaxation Labelling....Pages 109-117
Feature Point Matching Using Temporal Smoothness in Velocity....Pages 119-131
Multiresolutional Cluster Segmentation Using Spatial Context....Pages 133-140
Learning the Parameters of a Hidden Markov Random Field Image Model: A Simple Example....Pages 141-163
Locating Texture and Object Boundaries....Pages 165-177
Simulated Annealing: A Pedestrian Review of the Theory and Some Applications....Pages 179-192
The Detection of Geological Fault Lines in Radar Images....Pages 193-201
Speech Recognition Experiment with 10,000 Words Dictionary....Pages 203-209
Adaptive Networks and Speech Pattern Processing....Pages 211-222
Energy Methods in Connectionist Modelling....Pages 223-247
Learning and Associative Memory....Pages 249-268
Network Representations and Match Filters for Invariant Object Recognition....Pages 269-276
Problems and Possible Solutions in the Analysis of Sparse Images....Pages 277-286
Stochastic Geometry and Perception....Pages 287-293
Computational Geometry: Recent Results Relevant to Pattern Recognition....Pages 295-305
Structural Methods in Pattern Analysis....Pages 307-321
Structural Pattern Recognition: A Random Graph Approach....Pages 323-345
Inexact Graph Matching Used in Machine Vision....Pages 347-356
Development of an Incremental Graph Matching Device....Pages 357-366
Hybrid Methods in Pattern Recognition....Pages 367-382
Fuzzy Sets in Pattern Recognition....Pages 383-391
Classification Problem Solving: A Tutorial from an AI Perspective....Pages 393-409
On the Structure of Parallel Adaptive Search....Pages 411-423
Three Dimensional Organ Recognition by Tomographic Image Analysis....Pages 425-432
Knowledge-Based Computer Recognition of Speech....Pages 433-450
Modelling (Sub)String Length Based Constraints through a Grammatical Inference Method....Pages 451-459
Intrinsic Characteristics as the Interface Between CAD and Machine Vision Systems....Pages 461-470
The Tensor Differential Scale Space Representation....Pages 471-479
The Application of Image Tensors and a New Decomposition....Pages 481-491
Image Understanding Strategies: Application to Electron Microscopy....Pages 493-499
A Diffusion-Based Description of Shape....Pages 501-508
Statistical Evaluation of Computer Extracted Blood Cell Features for Screening Populations to Detect Leukemias....Pages 509-518
Tissue Image Segmentation with Multicolor, Multifocal Algorithms....Pages 519-528
Methods for Computer Analysis and Comparison of Two-Dimensional Protein Patterns Obtained by Electrophoresis....Pages 529-537
Back Matter....Pages 539-546

✦ Subjects

Pattern Recognition