A survey of graph grammars: theory and applications

Q4 Computer Science 模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.201776
Hoda Fahmy, D. Blostein
{"title":"A survey of graph grammars: theory and applications","authors":"Hoda Fahmy, D. Blostein","doi":"10.1109/ICPR.1992.201776","DOIUrl":null,"url":null,"abstract":"Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications. Currently graph grammars are used most successfully in application areas other than pattern recognition. Widespread application of graph grammars to picture processing tasks will require research into problems of large-scale grammars, readability of grammars, and grammatical processing of uncertain data.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 39

Abstract

Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications. Currently graph grammars are used most successfully in application areas other than pattern recognition. Widespread application of graph grammars to picture processing tasks will require research into problems of large-scale grammars, readability of grammars, and grammatical processing of uncertain data.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
图文法概览:理论与应用
图语法为描述多维数据的结构性操作提供了一种有用的形式。作者简要回顾了图语法的理论方面,特别是嵌入问题,然后总结了图语法的应用。目前,图语法在模式识别以外的应用领域最为成功。图语法在图像处理任务中的广泛应用将需要研究大规模语法、语法的可读性和不确定数据的语法处理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
期刊介绍:
期刊最新文献
Pattern Recognition and Artificial Intelligence: 5th Mediterranean Conference, MedPRAI 2021, Istanbul, Turkey, December 17–18, 2021, Proceedings Pattern Recognition and Artificial Intelligence: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part I Pattern Recognition and Artificial Intelligence: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part II Conditional Graph Pattern Matching with a Basic Static Analysis Ensemble Classification Using Entropy-Based Features for MRI Tissue Segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1