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What is included with this book?
| Invited Papers | |
| Some Notes on Twenty One (21) Nearest Prototype Classifiers | p. 1 |
| Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches | p. 17 |
| Current Trends in Grammatical Inference | p. 28 |
| Classifier's Complexity Control while Training Multilayer Perceptrons | p. 32 |
| Pierre Devijver Lecture | |
| A Framework for Classifier Fusion: Is It Still Needed? | p. 45 |
| Hybrid and Combined Methods | |
| Image Pattern Recognition Based on Examples - A Combined Statistical and Structural-Syntactic Approach | p. 57 |
| A Hybrid System for the Recognition of Hand-Written Characters | p. 67 |
| Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches | p. 77 |
| Selection of Classifiers Based on Multiple Classifier Behaviour | p. 87 |
| Applications | |
| The Adaptive Subspace Map for Image Description and Image Database Retrieval | p. 94 |
| Adaptative Automatic Target Recognition with SVM Boosting for Outlier Detection | p. 104 |
| A Multiresolution Causal Colour Texture Model | p. 114 |
| Writer Identification: Statistical Analysis and Dichotomizer | p. 123 |
| Document Image Analysis | |
| Syntactic Pattern Recognition by Error Correcting Analysis on Tree Automata | p. 133 |
| Offline Recognition of Syntax-Constrained Cursive Handwritten Text | p. 143 |
| Structural Classification for Retrospective Conversion of Documents | p. 154 |
| Segmentation of Date Field on Bank Cheques | p. 163 |
| Grammar and Language Methods | |
| Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies | p. 173 |
| Computation of the N Best Parse Trees for Weighted and Stochastic Context-Free Grammars | p. 183 |
| Partitional vs Hierarchical Clustering Using a Minimum Grammar Complexity Approach | p. 193 |
| Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks | p. 203 |
| Structural Matching | |
| Retrieval of Partially Visible Shapes through Structural Feature Indexing | p. 211 |
| A Structural Matching Algorithm Using Generalized Deterministic Annealing | p. 221 |
| Alignment and Correspondence Using Singular Value Decomposition | p. 226 |
| Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques | p. 236 |
| Efficient Alignment and Correspondence Using Edit Distance | p. 246 |
| Graph-Based Methods | |
| Irregular Pyramids with Combinatorial Maps | p. 256 |
| A New Error-Correcting Distance for Attributed Relational Graph Problems | p. 266 |
| Distance between Attributed Graphs and Function-Described Graphs Relaxing 2nd Order Restrictions | p. 277 |
| A Graph Labelling Approach for Connected Feature Selection | p. 287 |
| Region-Based Representation for Object Recognition by Relaxation Labelling | p. 297 |
| Shape Analysis | |
| Shape Boundary Tracking with Hidden Markov Models | p. 308 |
| Parallel Techniques for Rule-Based Scene Interpretation | p. 318 |
| Curvature Estimation Using Shape-from-Texture | p. 327 |
| Efficient Techniques for a Very Accurate Measurement of Dissimilarities between Cyclic Patterns | p. 337 |
| SSPR Poster Session | |
| Planar Symmetry Detection by Random Sampling and Voting Process | p. 347 |
| Assessing the Computational Effort for Structural 3D Vehicle Recognition | p. 357 |
| Guided Relinking of Graph Pyramids | p. 367 |
| Texture Indexing by a Hierarchical Representation | p. 377 |
| Surface Skeletons Detected on the D6 Distance Transform | p. 387 |
| Selection Strategies for Ambiguous Graph Matching by Evolutionary Optimisation | p. 397 |
| Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations | p. 407 |
| A Statistical-Estimation Method for Stochastic Finite-State Transducers Based on Entropy Measures | p. 417 |
| Efficient Subgraph Isomorphism with `A Priori' Knowledge (Application to 3D Reconstruction of Buildings for Cartography) | p. 427 |
| Pyramid and Interior | p. 437 |
| Prototype Learning with Attributed Relational Graphs | p. 447 |
| Lossless Compression of Surfaces Described as Points | p. 457 |
| A Class of Solvable Consistent Labeling Problems | p. 462 |
| Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform | p. 472 |
| Using the Dual of Proximity Graphs for Binary Decision Tree Design | p. 482 |
| Clustering and Density Estimation | |
| Bayesian Approach to Mixture Models for Discrimination | p. 491 |
| Pattern Classification Based on a Piecewise Multi-linear Model for the Class Probability Densities | p. 501 |
| Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers | p. 511 |
| The Moments of the Mixel Distribution and Its Application to Statistical Image Classification | p. 521 |
| Object Recognition | |
| Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector | p. 532 |
| Initial Matching of Multiple-View Images by Affine Approximation of Relative Distorsions | p. 540 |
| Local Discriminant Regions Using Support Vector Machines for Object Recognition | p. 550 |
| Stochastic Models for Recognition of Occluded Objects | p. 560 |
| General Methodology I | |
| A Vector Approach to the Analysis of (Pattern with) Spatial Dependence | p. 571 |
| The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers | p. 581 |
| The Optimum Classifier and the Performance Evaluation by Bayesian Approach | p. 591 |
| A New Approximation Method of the Quadratic Discriminant Function | p. 601 |
| An Optimal Reject Rule for Binary Classifiers | p. 611 |
| General Methodology II | |
| Decontamination of Training Samples for Supervised Pattern Recognition Methods | p. 621 |
| The Role of Combining Rules in Bagging and Boosting | p. 631 |
| Confidence Combination Methods in Multi-expert Systems | p. 641 |
| Reducing the Training Times of Neural Classifiers with Dataset Condensing | p. 650 |
| Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation | p. 658 |
| Feature Extraction and Selection | |
| A Divergence Criterion for Classifier-Independent Feature Selection | p. 668 |
| Comparison of Classifier-Specific Feature Selection Algorithms | p. 677 |
| Combined Classifier Optimisation via Feature Selection | p. 687 |
| Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power | p. 696 |
| SPR Poster Session | |
| Real-Coded Genetic Algorithms Based on Mathematical Morphology | p. 706 |
| A New Model and Process Architecture for Facial Expression Recognition | p. 716 |
| Biologically Inspired Architecture of Feedforward Networks for Signal Classification | p. 727 |
| Optimal Threshold Estimation Using Prototype Selection | p. 737 |
| Basic and Fine Structure of Pairwise Interactions in Gibbs Texture Models | p. 747 |
| Segmentation of Text and Graphics/Images Using the Gray-Level Histogram Fourier Transform | p. 757 |
| Fast and Accurate Handwritten Character Recognition Using Approximate Nearest Neighbours Search on Large Databases | p. 767 |
| A Family of Divergences between ¿-Probabilistic Sets with Application to Handshape Recognition | p. 777 |
| Rotated, Scaled, and Noisy 2D and 3D Texture Classification with the Bispectrum-Based Invariant Feature | p. 785 |
| Multiple Comparison Procedures for Determining the Optimal Complexity of a Model | p. 796 |
| Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction | p. 806 |
| A Statistical Matrix Representation Using Sliced Orthogonal Nonlinear Correlations for Pattern Recognition | p. 816 |
| A Fast Approximately k-Nearest-Neighbour Search Algorithm for Classification Tasks | p. 823 |
| Design of a Telerobotic Interface System by Using Object Recognition Techniques | p. 832 |
| Comparison of Four Initialization Techniques for the K-Medians Clustering Algorithm | p. 842 |
| Sensory-Flow Segmentation Using a Resource Allocating Vector Quantizer | p. 853 |
| Multiple Reject Thresholds for Improving Classification Reliability | p. 863 |
| Clustering with EM: Complex Models vs. Robust Estimation | p. 872 |
| A Simple Implementation of the Stochastic Discrimination for Pattern Recognition | p. 882 |
| Adaptive Image Filtering and Segmentation Using Robust Statistical Estimation of Intensity | p. 888 |
| Author Index | p. 899 |
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