{"title":"s路平行有限时间吉布斯分类","authors":"I. Greenshields, Zhihong Yang","doi":"10.1109/NEBC.2001.924726","DOIUrl":null,"url":null,"abstract":"Gibbs classification is usually performed by annealing relative to the Metropolis scheme. When the number of compute cycles is bounded, Azencott demonstrated that parallel annealing is a viable approach. Here we describe an s-way finite time schedule with a post-annealing merge strategy.","PeriodicalId":269364,"journal":{"name":"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"s-way parallel finite time Gibbs classification\",\"authors\":\"I. Greenshields, Zhihong Yang\",\"doi\":\"10.1109/NEBC.2001.924726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gibbs classification is usually performed by annealing relative to the Metropolis scheme. When the number of compute cycles is bounded, Azencott demonstrated that parallel annealing is a viable approach. Here we describe an s-way finite time schedule with a post-annealing merge strategy.\",\"PeriodicalId\":269364,\"journal\":{\"name\":\"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEBC.2001.924726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBC.2001.924726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gibbs classification is usually performed by annealing relative to the Metropolis scheme. When the number of compute cycles is bounded, Azencott demonstrated that parallel annealing is a viable approach. Here we describe an s-way finite time schedule with a post-annealing merge strategy.