Preface | |
Acknowledgements | |
Patterns in the Role of Knowledge Representation | p. 3 |
Application of Evidence Theory to k-NN Pattern Classification | p. 13 |
Decision Trees and Domain Knowledge in Pattern Recognition | p. 25 |
Object Recognition Using Hidden Markov Models | p. 37 |
Inference of Syntax for Point Sets | p. 45 |
Recognising Cubes in Images | p. 59 |
Syntactic Pattern Classification of Moving Objects in a Domestic Environment | p. 75 |
Initializing the EM Algorithm for Use in Gaussian Mixture Modelling | p. 91 |
Predicting REM in Sleep EEG Using a Structural Approach | p. 107 |
On the Problem of Restoring Original Structure of Signals (Images) Corrupted by Noise | p. 129 |
Reflectance Ratios: An Extension of Land's Retinex Theory | p. 141 |
A Segmentation Algorithm Based on AI Techniques | p. 153 |
Graph Matching by Discrete Relaxation | p. 165 |
Inexact Matching Using Neural Networks | p. 177 |
Matching of Curvilinear Structures: Application to the Identification of Cortical Sulci on 3D Magnetic Resonance Brain Image | p. 185 |
Knowledge Based Image Analysis of Agricultural Fields in Remotely Sensed Images | p. 197 |
A Texture Classification Experiment for SAR Radar Images | p. 213 |
Spatio/Temporal Causal Models | p. 233 |
Potentials of Bayesian Decision Networks for Planning Under Uncertainty | p. 241 |
Qualitative Recognition Using Bayesian Reasoning | p. 255 |
Learning Characteristic Rules in a Target Language | p. 267 |
Why Do Multilayer Perceptrons have Favorable Small Sample Properties? | p. 287 |
Using Boltzmann Machines for Probability Estimation: A General Framework for Neural Network Learning | p. 299 |
Symbolic Approximation of Feedforward Neural Networks | p. 313 |
Analytical Approaches to the Neural Net Architecture Design | p. 325 |
An Alternative Feedforward Approach to Neural Classification Problems | p. 337 |
Contribution Analysis of Multi-Layer Perceptrons. Estimation of the Input Sources' Importance for the Classification | p. 347 |
Neural Networks - Advantages and Applications | p. 359 |
Relative Effectiveness of Neural Networks for Image Noise Suppression | p. 367 |
An Experimental Comparison of Neural Classifiers with 'Traditional' Classifiers | p. 391 |
Comparative Study of Techniques for Large-Scale Feature Selection | p. 403 |
Neural Nets and Classification Trees: A Comparison in the Domain of ECG Analysis | p. 415 |
An Empirical Study of the Performance of Heuristic Methods for Clustering | p. 425 |
A Comparative Study of Different Classifiers for Handprinted Character Recognition | p. 437 |
A Comparison of the Randomised Hough Transform and a Genetic Algorithm for Ellipse Extraction | p. 449 |
Relative Feature Importance: A Classifier-Independent Approach to Feature Selection | p. 473 |
An Intelligent Planner for Multisensory Robot Vision | p. 489 |
Hybrid Knowledge Bases for Real-Time Robotic Reasoning | p. 501 |
Hybrid Systems for Constraint-Based Spatial Reasoning | p. 513 |
Detecting Novel Fault Conditions with Hidden Markov Models and Neural Networks | p. 525 |
A Handwriting Recognition System Based on Multiple AI Techniques | p. 537 |
A Hybrid System to Detect Hand Orientation in Stereo Images | p. 551 |
Discussions Part VI | p. 563 |
List of Authors | p. 573 |
List of Keywords | p. 575 |
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