找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Edwin R. Hancock,Richard C. Wilson,Francisco Escol Confere

[复制链接]
查看: 17782|回复: 35
发表于 2025-3-21 16:51:05 | 显示全部楼层 |阅读模式
书目名称Structural, Syntactic, and Statistical Pattern Recognition
副标题Joint IAPR Internati
编辑Edwin R. Hancock,Richard C. Wilson,Francisco Escol
视频video
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Edwin R. Hancock,Richard C. Wilson,Francisco Escol Confere
描述This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern Recognition(IAPR), andheld inCesme, Izmir, whichis a seaside resort on the Aegean coast of Turkey. The conference took place during August 18–20, 2010, only a few days before the 20th International Conference on Pattern Recognition (ICPR) which was held in Istanbul. The aim of the series of workshops is to create an international forum for the presentation of the latest results and exchange of ideas between researchers in the ?elds of statistical and structural pattern recognition. SPR 2010 and SSPR 2010 received a total of 99 paper submissions from many di?erent countries around the world, giving it a truly international perspective, as has been the case for previous S+SSPR workshops. This volume contains 70 accepted papers, 39 for oral and 31 for poster presentation. In addition to par- lel oral sessions for SPR and SSPR, there were two joint oral sessions of
出版日期Conference proceedings 2010
关键词Hidden Markov Model; Kernel; algorithms; classification; clustering; complexity; data mining; information r
版次1
doihttps://doi.org/10.1007/978-3-642-14980-1
isbn_softcover978-3-642-14979-5
isbn_ebook978-3-642-14980-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2010
The information of publication is updating

书目名称Structural, Syntactic, and Statistical Pattern Recognition影响因子(影响力)




书目名称Structural, Syntactic, and Statistical Pattern Recognition影响因子(影响力)学科排名




书目名称Structural, Syntactic, and Statistical Pattern Recognition网络公开度




书目名称Structural, Syntactic, and Statistical Pattern Recognition网络公开度学科排名




书目名称Structural, Syntactic, and Statistical Pattern Recognition被引频次




书目名称Structural, Syntactic, and Statistical Pattern Recognition被引频次学科排名




书目名称Structural, Syntactic, and Statistical Pattern Recognition年度引用




书目名称Structural, Syntactic, and Statistical Pattern Recognition年度引用学科排名




书目名称Structural, Syntactic, and Statistical Pattern Recognition读者反馈




书目名称Structural, Syntactic, and Statistical Pattern Recognition读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:20:30 | 显示全部楼层
发表于 2025-3-22 00:53:27 | 显示全部楼层
发表于 2025-3-22 05:03:20 | 显示全部楼层
发表于 2025-3-22 10:02:55 | 显示全部楼层
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/t/image/880089.jpg
发表于 2025-3-22 14:42:32 | 显示全部楼层
发表于 2025-3-22 17:18:27 | 显示全部楼层
发表于 2025-3-22 23:11:14 | 显示全部楼层
发表于 2025-3-23 03:18:36 | 显示全部楼层
Classification and Trees popular indeed. Designing tree-based classifiers, however, has its pitfalls. It is easy to make them too simple or too complicated so that Bayes risk consistency is compromised. In this talk, we explore the relationship between algorithmic complexity of tree-based methods and performance.
发表于 2025-3-23 09:35:58 | 显示全部楼层
Edwin R. Hancock,Richard C. Wilson,Francisco EscolFast-track conference proceedings.State-of-the-art research.Up-to-date results
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-19 18:24
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表