{"title":"基于图像的仿真验证技术","authors":"D. Fraedrich","doi":"10.1109/AIPR.2006.39","DOIUrl":null,"url":null,"abstract":"This paper, describes a series of steps on how to perform model validation and how to interpret the results. The first step is to establish how much error is allowable. If this is not done, then the results of the validation will be very hard to interpret. Once this allowable error is established, the paper describes a procedure for how to perform the validation and analyze the results in a productive way.","PeriodicalId":375571,"journal":{"name":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Validation Techniques for Image-Based Simulations\",\"authors\":\"D. Fraedrich\",\"doi\":\"10.1109/AIPR.2006.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper, describes a series of steps on how to perform model validation and how to interpret the results. The first step is to establish how much error is allowable. If this is not done, then the results of the validation will be very hard to interpret. Once this allowable error is established, the paper describes a procedure for how to perform the validation and analyze the results in a productive way.\",\"PeriodicalId\":375571,\"journal\":{\"name\":\"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2006.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2006.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper, describes a series of steps on how to perform model validation and how to interpret the results. The first step is to establish how much error is allowable. If this is not done, then the results of the validation will be very hard to interpret. Once this allowable error is established, the paper describes a procedure for how to perform the validation and analyze the results in a productive way.
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