结构的、句法的和统计的模式认知

书籍目录

Invited Talks  Spectral Methods　Using Silhouettesfor View-Based 3-D Object Recognition　Machine Learning for Sequential Data: A Review　　Graph-Based Methods for Vision: A Yorkist Manifesto　SSPR　Graphs, Grammars and Languages　　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　Graphs, Strings and Grammars　　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　Documents and OCR　　Structural Description to Recognising Arabic 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　Image Shape Analysis and Application　　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 Nets:　An Example from Vehicle Recognition……Poster PapersSPRPoster PapersAuthor Index

作者简介

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  This book 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.

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