Advances in Pattern Recognition

Invited Papers.- Some Notes on Twenty One 21 Nearest Prototype Classifiers.- Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches.- Current Trends in Grammatical Inference.- Classifier’s Complexity Control while Training Multilayer Perceptrons.- Pierre Devijver Lecture.- A Framework for Classifier Fusion: Is It Still Needed?.- Hybrid and Combined Methods.- Image Pattern Recognition Based on Examples— A Combined Statistical and Structural-Syntactic Approach.- A Hybrid System for the Recognition of Hand-Written Characters.- Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches.- Selection of Classifiers Based on Multiple Classifier Behaviour.- Applications.- The Adaptive Subspace Map for Image Description and Image Database Retrieval.- Adaptive Automatic Target Recognition with SVM Boosting for Outlier Detection.- A Multiresolution Causal Colour Texture Model.- Writer Identification: Statistical Analysis and Dichotomizer.- Document Image Analysis.- Syntactic Pattern Recognition by Error Correcting Analysis on Tree Automata.- Offline Recognition of Syntax-Constrained Cursive Handwritten Text.- Structural Classification for Retrospective Conversion of Documents.- Segmentation of Date Field on Bank Cheques.- Grammar and Language Methods.- Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies.- Computation of the N Best Parse Trees for Weighted and Stochastic Context-Free Grammars.- Partitional vs Hierarchical Clustering Using a Minimum Grammar Complexity Approach.- Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks.- Structural Matching.- Retrieval of Partially Visible Shapes through Structural Feature Indexing.- A Structural Matching Algorithm Using Generalized Deterministic Annealing.- Alignment and Correspondence Using Singular Value Decomposition.- Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques.- Efficient Alignment and Correspondence Using Edit Distance.- Graph-Based Methods.- Irregular Pyramids with Combinatorial Maps.- A New Error-Correcting Distance for Attributed Relational Graph Problems.- Distance between Attributed Graphs and Function-Described Graphs Relaxing 2nd Order Restrictions.- A Graph Labelling Approach for Connected Feature Selection.- Region-Based Representation for Object Recognition by Relaxation Labelling.- Shape Analysis.- Shape Boundary Tracking with Hidden Markov Models.- Parallel Techniques for Rule-Based Scene Interpretation.- Curvature Estimation Using Shape-from-Texture.- Efficient Techniques for a Very Accurate Measurement of Dissimilarities between Cyclic Patterns.- SSPR Poster Session.- Planar Symmetry Detection by Random Sampling and Voting Process.- Assessing the Computational Effort for Structural 3D Vehicle Recognition.- Guided Relinking of Graph Pyramids.- Texture Indexing by a Hierarchical Representation.- Surface Skeletons Detected on the D6 Distance Transform.- Selection Strategies for Ambiguous Graph Matching by Evolutionary Optimisation.- Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations.- A Statistical-Estimation Method for Stochastic Finite-State Transducers Based on Entropy Measures.- Efficient Subgraph Isomorphism with ‘A Priori’ Knowledge.- Pyramid and Interior.- Prototype Learning with Attributed Relational Graphs.- Lossless Compression of Surfaces Described as Points.- A Class of Solvable Consistent Labeling Problems.- Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform.- Using the Dual of Proximity Graphs for Binary Decision Tree Design.- Clustering and Density Estimation.- Bayesian Approach to Mixture Models for Discrimination.- Pattern Classification Based on a Piecewise Multi-linear Model for the Class Probability Densities.- Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers.- The Moments of the Mixel Distribution and Its Application to Statistical Image Classification.- Object Recognition.- Statistical Pattern Recognition Using the Normalized Complex Moment Components Vector.- Initial Matching of Multiple-View Images by Affine Approximation of Relative Distortions.- Local Discriminant Regions Using Support Vector Machines for Object Recognition.- Stochastic Models for Recognition of Occluded Objects.- General Methodology I.- A Vector Approach to the Analysis of (Patterns with) Spatial Dependence.- The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers.- The Optimum Classifier and the Performance Evaluation by Bayesian Approach.- A New Approximation Method of the Quadratic Discriminant Function.- An Optimal Reject Rule for Binary Classifiers.- General Methodology II.- Decontamination of Training Samples for Supervised Pattern Recognition Methods.- The Role of Combining Rules in Bagging and Boosting.- Confidence Combination Methods in Multi-expert Systems.- Reducing the Training Times of Neural Classifiers with Dataset Condensing.- Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation.- Feature Extraction and Selection.- A Divergence Criterion for Classifier-Independent Feature Selection.- Comparison of Classifier-Specific Feature Selection Algorithms.- Combined Classifier Optimisation via Feature Selection.- Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power.- SPR Poster Session.- Real-Coded Genetic Algorithms Based on Mathematical Morphology.- A New Model and Process Architecture for Facial Expression Recognition.- Biologically Inspired Architecture of Feedforward Networks for Signal Classification.- Optimal Threshold Estimation Using Prototype Selection.- Basic and Fine Structure of Pairwise Interactions in Gibbs Texture Models.- Segmentation of Text and Graphics/Images Using the Gray-Level Histogram Fourier Transform.- Fast and Accurate Handwritten Character Recognition Using Approximate Nearest Neighbours Search on Large Databases.- A Family of Divergences between ?-Probabilistic Sets with Application to Handshape Recognition.- Rotated, Scaled, and Noisy 2D and 3D Texture Classification with the Bispectrum-Based Invariant Feature.- Multiple Comparison Procedures for Determining the Optimal Complexity of a Model.- Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction.- A Statistical Matrix Representation Using Sliced Orthogonal Nonlinear Correlations for Pattern Recognition.- A Fast Approximately k—Nearest—Neighbour Search Algorithm For Clasification Tasks.- Design of a Telerobotic Interface System by Using Object Recognition Techniques.- Comparison of Four Initialization Techniques for the K-Medians Clustering Algorithm.- Sensory Flow Segmentation Using a Resource Allocating Vector Quantizer.- Multiple Reject Thresholds for Improving Classification Reliability.- Clustering with EM: Complex Models vs. Robust Estimation.- A Simple Implementation of the Stochastic Discrimination for Pattern Recognition.- Adaptive Image Filtering and Segmentation Using Robust Estimation of Intensity.