{"title":"多分辨率高斯-马尔可夫随机场建模","authors":"S. Krishnamachari, Ramalingam Chellappa","doi":"10.1109/WITS.1994.513917","DOIUrl":null,"url":null,"abstract":"A multiresolution model for Gauss Markov random fields (GMRF) is presented. Based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from the parameters at fine resolution.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling Gauss Markov random fields at multiple resolutions\",\"authors\":\"S. Krishnamachari, Ramalingam Chellappa\",\"doi\":\"10.1109/WITS.1994.513917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multiresolution model for Gauss Markov random fields (GMRF) is presented. Based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from the parameters at fine resolution.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.1994.513917\",\"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 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling Gauss Markov random fields at multiple resolutions
A multiresolution model for Gauss Markov random fields (GMRF) is presented. Based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from the parameters at fine resolution.
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