Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, . (Lecture Notes in Computer Science, 2396)

ISBN 10: 3540440119 / ISBN 13: 9783540440116

Editore: Springer, 2002

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Dati bibliografici

• Titolo: Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, . (Lecture Notes in Computer Science, 2396)
• Editore: Springer
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 3540440119
• ISBN 13: 9783540440116
• Rilegatura: Paperback
• Condizione: Like New
• Tipo di libro: book

Descrizione articolo

Riassunto

This volume contains all papers presented at SSPR 2002 and SPR 2002 hosted by the University of Windsor, Windsor, Ontario, Canada, August 6-9, 2002. This was the third time these two workshops were held back-to-back. SSPR was the ninth International Workshop on Structural and Syntactic Pattern Recognition and the SPR was the fourth International Workshop on Statis- cal Techniques in Pattern Recognition. These workshops have traditionally been held in conjunction with ICPR (International Conference on Pattern Recog- tion), and are the major events for technical committees TC2 and TC1, resp- tively, of the International Association of Pattern Recognition (IAPR). The workshops were held in parallel and closely coordinated. This was an attempt to resolve the dilemma of how to deal, in the light of the progressive specialization of pattern recognition, with the need for narrow-focus workshops without further fragmenting the ?eld and introducing yet another conference that would compete for the time and resources of potential participants. A total of 116 papers were received from many countries with the submission and reviewingprocesses beingcarried out separately for each workshop. A total of 45 papers were accepted for oral presentation and 35 for posters. In addition four invited speakers presented informative talks and overviews of their research. They were: Tom Dietterich, Oregon State University, USA Sven Dickinson, the University of Toronto, Canada Edwin Hancock, University of York, UK Anil Jain, Michigan State University, USA SSPR 2002 and SPR 2002 were sponsored by the IAPR and the University of Windsor.

Contenuti

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.