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 Niels Vitoria Lobo,Takis Kasparis,Marco Loog Conference pr

[复制链接]
查看: 28947|回复: 35
发表于 2025-3-21 18:57:24 | 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Niels Vitoria Lobo,Takis Kasparis,Marco Loog
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Niels Vitoria Lobo,Takis Kasparis,Marco Loog Conference pr
描述This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains 98 papers presented at the S+SSPR 2008 workshops. S+SSPR 2008 was the sixth time that the SPR and SSPR workshops organized by Technical Committees, TC1 and TC2, of the International Association for Pattern Rec- nition (IAPR) wereheld as joint workshops. S+SSPR 2008was held in Orlando, Florida, the family entertainment capital of the world, on the beautiful campus of the University of Central Florida, one of the up and coming metropolitan universities in the USA. S+SSPR 2008 was held during December 4–6, 2008 only a few days before the 19th International Conference on Pattern Recog- tion(ICPR2008),whichwasheldin Tampa,onlytwo hoursawayfromOrlando, thus giving the opportunity of both conferences to attendees to enjoy the many attractions o?ered by two neighboring cities in the state of Florida. SPR 2008 and SSPR 2008 received a total of 175 paper submissions from many di?erent countries around the world,thus giving the workshop an int- national clout, as was the case for past workshops. This volume contains 98 accepted papers: 56 for oral presentations and 42 for poster presentations. In addition to
出版日期Conference proceedings 2008
关键词3D object classification; audio content mining; bayesian networks; biometrics; character recognition; cla
版次1
doihttps://doi.org/10.1007/978-3-540-89689-0
isbn_softcover978-3-540-89688-3
isbn_ebook978-3-540-89689-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2008
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 22:58:31 | 显示全部楼层
https://doi.org/10.1007/978-3-540-89689-03D object classification; audio content mining; bayesian networks; biometrics; character recognition; cla
发表于 2025-3-22 03:34:52 | 显示全部楼层
978-3-540-89688-3Springer-Verlag GmbH Germany, part of Springer Nature 2008
发表于 2025-3-22 04:39:00 | 显示全部楼层
Structural, Syntactic, and Statistical Pattern Recognition978-3-540-89689-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 10:32:13 | 显示全部楼层
发表于 2025-3-22 16:11:42 | 显示全部楼层
Tin Kam Hoschung und ihre praktisch-politische Bedeutung für die Bildungsplanung. Mit diesen allgemeinen Orientierungspunkten standen uns weitere Relevanzkriterien zur Verfügung, die in dem oben entfalteten theoretischen Bezugsrahmen bereits angelegt und von dort her begründet sind.
发表于 2025-3-22 17:35:12 | 显示全部楼层
Ludmila I. Kuncheva,Indre Zliobaite Variable berücksichtigt werden; letzteres gilt z.B. für die Qualitätsfaktoren “Beförderungsgeschwindigkeit”, “Netzdichte”, “Haltestellenabstand” und “Häufigkeit”, deren individuelle Realisierungsgrade sich in unterschiedlichem Ausmaß gegenseitig beeinflussen.
发表于 2025-3-22 23:53:02 | 显示全部楼层
发表于 2025-3-23 04:37:27 | 显示全部楼层
Structural, Syntactic, and Statistical Pattern RecognitionJoint IAPR Internati
发表于 2025-3-23 06:53:38 | 显示全部楼层
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drifttate the optimal window size for the case of LDC applied to two Gaussian classes and a sudden change in the form of rotation and translation of the feature space. Simulation results are included in order to investigate the sensitivity of the theoretical results to violation of the underlying assumpt
 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, 2025-5-3 19:38
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