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结构、句法和统计的图形认知 Structural, syntactic, and statistical pattern recognition

结构、句法和统计的图形认知 Structural, syntactic, and statistical pattern recognition  点此进入淘宝搜索页搜索
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  分類: 图书,进口原版书,科学与技术 Science & Techology ,

作者: Terry Caelli著

出 版 社: 湖南文艺出版社

出版时间: 2002-12-1字数:版次: 1页数: 862印刷时间: 2002/12/01开本:印次:纸张: 胶版纸I S B N : 9783540440116包装: 平装编辑推荐

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science resarch forum available.

The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material publised traditionally includes.

-proceedings(published in time for the respective conference)

-post-proceedings(consisting of thoroughly revised final full papers)

-research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.)

内容简介

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.

目录

Invited Talks

Spectral MethodsUsing Silhouettes

for 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 Costof 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 Matchingwithout 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 Subgraphon Randomly Connected Graphs

Inexact Multisubgraph Matching Using Graph Eigenspaceand Clustering Models

Optimal Lower Bound for Generalized Median Problemsin Metric Space

Documents and OCR

Structural Description to Recognising Arabic CharactersUsing Decision Tree Learning Techniques

Feature Approach for Printed Document Image Analysis

Example-Driven Graphics Recognition

Estimation of Texels for Regular MosaicsUsing 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 Papers

SPR

Poster Papers

Author Index

 
 
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