Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Repository | sid.inpe.br/sibgrapi@80/2007/09.20.13.22 |
Last Update | 2007:09.20.13.22.25 administrator |
Metadata | sid.inpe.br/sibgrapi@80/2007/09.20.13.22.26 |
Metadata Last Update | 2020:02.19.03.06.19 administrator |
Citation Key | LevadaMasc:2007:EsNoPo |
Title | Estimation of non-homogeneous Potts-Strauss MRF model parameters on higher-order neighborhood systems by maximum pseudo-likelihood  |
Format | On-line |
Year | 2007 |
Date | Oct. 7-10, 2007 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 161 KiB |
Context area | |
Author | 1 Levada, Alexandre Luis Magalhães 2 Mascarenhas, Nelson Delfino d'Ávila |
Affiliation | 1 Universidade de São Paulo 2 Universidade Federal de São Carlos |
Editor | Gonçalves, Luiz Wu, Shin Ting |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
Conference Location | Belo Horizonte |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Technical Poster |
History | 2008-07-17 14:09:45 :: alexandreluis@ursa.ifsc.usp.br -> administrator :: 2009-08-13 20:38:42 :: administrator -> banon :: 2010-08-28 20:02:32 :: banon -> administrator :: 2020-02-19 03:06:19 :: administrator -> :: 2007 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Markov Random Fields, Potts-Strauss model, maximum pseudo-likelihood. |
Abstract | This paper addresses the problem of maximum pseudo-likelihood estimation of the non-homogeneous Potts-Strauss image model parameters using higher-order non-causal neighborhood systems in a computationally efficient way. The motivation is the development of a new methodology for contextual classification that uses combination of sub-optimal MRF algorithms for multispectral image classification, which requires accurate parameters estimation. The results show that the method is consistent with real image data and in the presence of random noise. |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
Conditions of access and use area | |
data URL | http://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/09.20.13.22 |
zipped data URL | http://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/09.20.13.22 |
Language | en |
Target File | Levada_Mascarenhas_SIBGRAPI2007.pdf |
User Group | alexandreluis@ursa.ifsc.usp.br administrator |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/sibgrapi@80/2007/08.02.16.22 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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