Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings

Invited Talks. - Finding Clusters and Components by Unsupervised Learning. - Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. - The Use of Graph Techniques for Identifying Objects and Scenes in Indoor Building Environments for Mobile Robots. - Graphical-Based Learning Environments for Pattern Recognition. - SSPR. - Spectral Analysis of Complex Laplacian Matrices. - Decision Tree Structures for Graph Database Filtering. - A Significant Improvement of Softassign with Diffusion Kernels. - Structural Perceptrons for Attributed Graphs. - Eigenspace Method by Autoassociative Networks for Object Recognition. - A Novel Constraint-Based Approach to Online Graphics Recognition. - Extraction of Skeletal Shape Features Using a Visual Attention Operator. - Computing the Cyclic Edit Distance for Pattern Classification by Ranking Edit Paths. - Contour Segments from Spline Interpolation. - Steady State Random Walks for Path Estimation. - Learning of Form Models from Exemplars. - An Optimal Probabilistic Graphical Model for Point Set Matching. - A New Variational Framework for Rigid-Body Alignment. - An Error-Tolerant Approximate Matching Algorithm for Attributed Planar Graphs and Its Application to Fingerprint Classification. - Comparison of Algorithms for Web Document Clustering Using Graph Representations of Data. - Heat Kernels, Manifolds and Graph Embedding. - A Syntactic Pattern Recognition Approach to Computer Assisted Translation. - GIATI: A General Methodology for Finite-State Translation Using Alignments. - A Coupled Relaxation Method for Finding Perceptual Structures. - A Comparison of Unsupervised Shot Classification Algorithms for News Video Segmentation. - Diagnosis of Lung Nodule Using the Semivariogram Function. - Dictionary-Based Syntactic Pattern Recognition Using Tries. - Improving Probabilistic Automata Learning with Additional Knowledge. - Distances between Distributions: Comparing Language Models. - A New Uniform Translocation Distance. - Understanding Human-Computer Interactions in Map Revision. - Multiscale Curvature Assessment of Postural Deviations. - Modelling Human Shape with Articulated Shape Mixtures. - Learning People Movement Model from Multiple Cameras for Behaviour Recognition. - Poster Papers. - A Comparison of Least Squares and Spectral Methods for Attributed Graph Matching. - An Auction Algorithm for Graph-Based Contextual Correspondence Matching. - Segmentation Graph Hierarchies. - Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM. - A Kernel View of Spectral Point Pattern Matching. - Neural Networks for Improved Target Differentiation with Sonar. - An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data. - Human Action Recognition by Inference of Stochastic Regular Grammars. - Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System. - A Structural Approach to Adaptive Inverse Halftoning for Document Images. - Syntactic Modeling and Recognition of Document Images. - Symbols Recognition System for Graphic Documents Combining Global Structural Approaches and Using a XML Representation of Data. - Sketch Recognition Based on Topological Spatial Relationship. - A Study on the Consistency of Features for On-Line Signature Verification. - Statistical Structure of Natural 4 x 4 Image Patches. - Grey Scale Skeletonisation with Curvature Sensitive Noise Damping. - License Vehicle Plates Localization Using Maximum Correlation. - Adaptive Context for a Discrete Universal Denoiser. - Pose Estimation from Airborne Video Sequences Using a Structural Approach for the Construction of Homographies and Fundamental Matrices. - Temporal Post-processing of Decision Tree Outputs for Sports Video Categorisation. - A New Method of Polyline Approximation. - On Extending Symmetry Sets for 2D Shapes. - Structural Analysis and Matching of Shape by Logical Property. - Scale Descriptors through Phase Unwrapping. - Lung Segmentation on Postero-anterior Digital Chest Radiographs Using Active Contours. - Emotion Recognition from Dance Image Sequences Using Contour Approximation. - Matching Concavity Trees. - SPR. - Combining Classifier for Face Identification at Unknown Views with a Single Model Image. - A Logodds Criterion for Selection of Diagnostic Tests. - Evaluation of Classical and Novel Ensemble Methods for Handwritten Word Recognition. - Improving Support Vector Classification via the Combination of Multiple Sources of Information. - Fusing Segmentation and Classification from Multiple Features. - A Classifier Combination Tree Algorithm. - Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. - An Effective EM Algorithm for PCA Mixture Model. - EM Initialisation for Bernoulli Mixture Learning. - A New Family of Weak Estimators for Training in Non-stationary Distributions. - Path Relinking Particle Filter for Human Body Pose Estimation. - Clustering with Soft and Group Constraints. - Learning from General Label Constraints. - Solving the One-Class Problem Using Neighbourhood Measures. - Detection of a Single Texture in Colour Images. - Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost. - Control of Sparseness for Feature Selection. - On Prediction Mechanisms in Fast Branch & Bound Algorithms. - Structures of Covariance Matrix in Handwritten Character Recognition. - Statistical Machine Translation Decoding Using Target Word Reordering. - Classifier Design for Population and Sensor Drift. - A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes. - Cost-Based Classifier Evaluation for Imbalanced Problems. - A Two-Stage Classifier with Reject Option for Text Categorisation. - Misclassification Probability Estimations for Linear Decision Functions. - Generalized Variable-Kernel Similarity Metric Learning. - Approximate Gradient Direction Metric for Face Authentication. - Poster Papers. - The Imbalanced Training Sample Problem: Under or over Sampling? - Automatic Preference Mining through Learning User Profile with Extracted Information. - A Computational Study of Naive Bayesian Learning in Anti-spam Management. - Kernel-Based Non-linear Template Matching. - Analyzing Weight Distribution of Feedforward Neural Networks and Efficient Weight Initialization. - One-Class Support Vector Machines with a Conformal Kernel. A Case Study in Handling Class Imbalance. - Automatic Labeling of Sports Video Using Umpire Gesture Recognition. - Comparison of Two Fast Nearest-Neighbour Search Methods in High-Dimensional Large-Sized Databases. - A Shallow Description Framework for Musical Style Recognition. - A Nearest Neighbor Method Using Bisectors. - Distance Based Strategy for Supervised Document Image Classification. - Identification of Humans Using Robust Biometric Features. - Facial Expression Recognition Based on the Two-Dimensional Structure of Affect. - Clustering Using WCC Models. - Algorithms for Constructing Min-Max Partitions of the Parameter Space for MDL Inference. - Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models. - Graph-Based Clustering of Random Point Set. - Cluster Validity and Stability of Clustering Algorithms. - Bagging Classification Models with Reduced Bootstrap. - Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. - Automatic Design of Cascaded Classifiers. - Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features. - Generating Classifier Outputs with Fixed Diversity for Evaluating Voting Methods. - Feature Selection Using Improved Mutual Information for Text Classification. - Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition. - Feature Shaving for Spectroscopic Data. - Feature Selection by Markov Chain Monte Carlo Sampling - A Bayesian Approach. - Classifier-Independent Visualization of Supervised Data Structures Using a Graph. - Texel-Based Texture Synthesis with Bunch Sampling. - Towards 3-Dimensional Pattern Recognition. - A General Strategy for Hidden Markov Chain Parameterisation in Composite Feature-Spaces. - Tracking the Evolution of a Tennis Match Using Hidden Markov Models. - Local Features for Speaker Recognition. - Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity. - Kernel Relative Principal Component Analysis for Pattern Recognition. - Dynamic Character Model Generation for Document Keyword Spotting. - Texture Classification by Combining Wavelet and Contourlet Features. - Distance Measures between Attributed Graphs and Second-Order Random Graphs. - On Not Making Dissimilarities Euclidean. - Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models.