Structural, Syntactic, and Statistical Pattern Recognition: Joint Iapr International Workshops Sspr 2002 and Spr 2002, Windsor, Ontario, Canada, Augus

ISBN-13: 9783540440116 / Angielski / Miękka / 2002 / 866 str.

T. Caelli; A. Amin; R. P. W. Duin

Opis

Constitutes the refereed proceedings of the 9th International Workshop on Structural and Syntctic Pattern Recognition, SSPR 2002 and the 4th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2002 held jointly in Windsor, Ontario, Canada in August 2002. The 45 revised full papers and 35 poster papers presented together with three invited papers were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on graphs, grammars and languages; graphs, strings and grammars; documents and OCR; image shape analysis and application; density estimation and distribution models; multi classifiers and fusion; feature extraction and selection; general methodology; and image shape analysis and application.

Spis treści

Invited Talks.- Spectral Methods for View-Based 3-D Object Recognition Using Silhouettes.- Machine Learning for Sequential Data: A Review.- Graph-Based Methods for Vision: A Yorkist Manifesto.- SSPR.- Reducing the Computational Cost of Computing Approximated Median Strings.- Tree k-Grammar Models for Natural Language Modelling and Parsing.- Algorithms for Learning Function Distinguishable Regular Languages.- Non-bayesian Graph Matching without Explicit Compatibility Calculations.- Spectral Feature Vectors for Graph Clustering.- Identification of Diatoms by Grid Graph Matching.- String Edit Distance, Random Walks and Graph Matching.- Learning Structural Variations in Shock Trees.- A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs.- Inexact Multisubgraph Matching Using Graph Eigenspace and Clustering Models.- Optimal Lower Bound for Generalized Median Problems in Metric Space.- Structural Description to Recognising Arabie Characters Using Decision Tree Learning Techniques.- Feature Approach for Printed Document Image Analysis.- Example-Driven Graphics Recognition.- Estimation of Texels for Regular Mosaics Using Model-Based Interaction Maps.- Using Graph Search Techniques for Contextual Colour Retrieval.- Comparing Shape and Temporal PDMs.- Linear Shape Recognition with Mixtures of Point Distribution Models.- Curvature Weighted Evidence Combination for Shape-from-Shading.- Probabilistic Decisions in Production Net An Example from Vehicle Recognition.- Hierarchical Top Down Enhancements of Robust PCA.- An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression.- Poster Papers.- Estimating the Joint Probability Distribution of Random Vertices and Arcs by Means of Second-Order Random Graphs.- Successive Projection Graph Matching.- Compact Graph Model of Handwritten Images: Integration into Authentification and Recognition.- A Statistical and Structural Approach for Symbol Recognition, Using XML Modelling.- A New Algorithm for Graph Matching with Application to Content-Based Image Retrieval.- Efficient Computation of 3-D Moments in Terms of an Object’s Partition.- A Visual Attention Operator Based on Morphological Models of Images and Maximum Likelihood Decision.- Disparity Using Feature Points in Multi Scale.- Detecting Perceptually Important Regions in an Image Based on Human Visual Attention Characteristic.- Development of Spoken Language User Interfaces: A Tool Kit Approach.- Document Image De-warping for Text/Graphics Recognition.- A Complete OCR System for Gurmukhi Script.- Texprint: A New Algorithm to Discriminate Textures Structurally.- Optical Music Interpretation.- On the Segmentation of Color Cartographic Images.- SPR.- Projection Pursuit Fitting Gaussian Mixture Models.- Asymmetric Gaussian and Its Application to Pattern Recognition.- Modified Predictive Validation Test for Gaussian Mixture Modelling.- Performance Analysis and Comparison of Linear Combiners for Classifier Fusion.- Comparison of Two Classification Methodologies on a Real-World Biomedical Problem.- Evidence Accumulation Clustering Based on the K-Means Algorithm.- A Kernel Approach to Metric Multidimensional Scaling.- On Feature Selection with Measurement Cost and Grouped Features.- Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis.- Effects of Many Feature Candidates in Feature Selection and Classification.- Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.- A Method to Estimate the True Mahalanobis Distance from Eigenvectors of Sample Covariance Matrix.- Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data.- Some Experiments in Supervised Pattern Recognition with Incomplete Training Samples.- Recursive Prototype Reduction Schemes Applicable for Large Data Sets.- Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition.- Training Set Expansion in Handwritten Character Recognition.- Document Classification Using Phrases.- Face Detection by Learned Affine Correspondences.- Shape-from-Shading for Highlighted Surfaces.- Texture Description by Independent Components.- Fusion of Multiple Cue Detectors for Automatic Sports Video Annotation.- Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval.- Recursive Model-Based Colour Image Restoration.- Poster Papers.- Human Face Recognition with Different Statistical Features.- A Transformation-Based Mechanism for Face Recognition.- Face Detection Using Integral Projection Models.- Illumination Normalized Face Image for Face Recognition.- Towards a Generalized Eigenspace-Based Face Recognition Framework.- Automatic Segmentation of Speech at the Phonetic Level.- Class-Discriminative Weighted Distortion Measure for VQ-based Speaker Identification.- Alive Fishes Species Characterization from Video Sequences.- Automatic Cut Detection in MPEG Movies: A Multi-expert Approach.- Bayesian Networks for Incorporation of Contextual Information in Target Recognition Systems.- Extending LAESA Fast Nearest Neighbour Algorithm to Find the k Nearest Neighbours.- A Fast Approximated k-Median Algorithm.- A Hidden Markov Model-Based Approach to Sequential Data Clustering.- Genetic Algorithms for Exploratory Data Analysis.- Piecewise Multi-linear PDF Modelling, Using an ML Approach.- Decision Tree Using Class-Dependent Feature Subsets.- Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition.- A Biologically Plausible Approach to Cat and Dog Discrimination.- Morphologically Unbiased Classifier Combination through Graphical PDF Correlation.- Classifiers under Continuous Observations.- Texture Classification Based on Coevolution Approach in Multiwavelet Feature Space.- Probabilistic Signal Models to Regularise Dynamic Programming Stereo.- The Hough Transform without the Accumulators.- Robust Gray-Level Histogram Gaussian Characterisation.- Model-Based Fatique Fractographs Texture Analysis.- Hierarchical Multiscale Modeling of Wavelet-Based Correlations.