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

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

Robert P. W. Duin, Terry Caelli, A. Amin (엮은이)
Springer Verlag
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Structural, Syntactic, and Statistical Pattern Recognition: Joint Iapr International Workshops Sspr 2002 and Spr 2002, Windsor, Ontario, Canada, Augus
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책 정보

· 제목 : Structural, Syntactic, and Statistical Pattern Recognition: Joint Iapr International Workshops Sspr 2002 and Spr 2002, Windsor, Ontario, Canada, Augus (Paperback, 2002) 
· 분류 : 외국도서 > 컴퓨터 > 광 데이터 처리
· ISBN : 9783540440116
· 쪽수 : 866쪽
· 출판일 : 2002-07-24

목차

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

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