模型的最佳默认参数的自动定义:图像抠图应用

E. Ravve, Z. Volkovich, G. Weber
{"title":"模型的最佳默认参数的自动定义:图像抠图应用","authors":"E. Ravve, Z. Volkovich, G. Weber","doi":"10.1109/SYNASC.2015.47","DOIUrl":null,"url":null,"abstract":"As a general rule, each user must provide thetool applied with particular values of its input parameters. Aninexperienced user may hardly figure out their values and thetool developer must define the default values in order to helpher/him. We present an approach to solve the problem with thehelp of multi-criteria optimization that is new in this formulation. We demonstrate our approach in closer details using an examplefrom the automatic definition of optimal default parameters forreal-time merging of visual objects. Our approach is generic andmay be also used for any kind of such inverse problems.","PeriodicalId":6488,"journal":{"name":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"12 1","pages":"251-254"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Definition of Optimal Default Parameters of Models: Image Matting Application\",\"authors\":\"E. Ravve, Z. Volkovich, G. Weber\",\"doi\":\"10.1109/SYNASC.2015.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a general rule, each user must provide thetool applied with particular values of its input parameters. Aninexperienced user may hardly figure out their values and thetool developer must define the default values in order to helpher/him. We present an approach to solve the problem with thehelp of multi-criteria optimization that is new in this formulation. We demonstrate our approach in closer details using an examplefrom the automatic definition of optimal default parameters forreal-time merging of visual objects. Our approach is generic andmay be also used for any kind of such inverse problems.\",\"PeriodicalId\":6488,\"journal\":{\"name\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"volume\":\"12 1\",\"pages\":\"251-254\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2015.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2015.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

作为一般规则,每个用户必须为应用的工具提供其输入参数的特定值。一个没有经验的用户可能很难弄清楚他们的值,工具开发人员必须定义默认值来帮助他/她。我们提出了一种新的多准则优化方法来解决这个问题。我们使用自动定义实时合并视觉对象的最佳默认参数的示例更详细地演示了我们的方法。我们的方法是通用的,也可用于任何类型的此类逆问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Automatic Definition of Optimal Default Parameters of Models: Image Matting Application
As a general rule, each user must provide thetool applied with particular values of its input parameters. Aninexperienced user may hardly figure out their values and thetool developer must define the default values in order to helpher/him. We present an approach to solve the problem with thehelp of multi-criteria optimization that is new in this formulation. We demonstrate our approach in closer details using an examplefrom the automatic definition of optimal default parameters forreal-time merging of visual objects. Our approach is generic andmay be also used for any kind of such inverse problems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Incremental Reasoning on Strongly Distributed Multi-agent Systems Extensions over OpenCL for Latency Reduction and Critical Applications An Improved Upper-Bound Algorithm for Non-preemptive Task Scheduling Adaptations of the k-Means Algorithm to Community Detection in Parallel Environments Improving Malware Detection Response Time with Behavior-Based Statistical Analysis Techniques
×
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