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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/RzAvu
Repositorysid.inpe.br/sibgrapi@80/2007/09.26.19.56
Last Update2007:09.26.19.56.42 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/09.26.19.56.43
Metadata Last Update2022:05.18.22.21.16 (UTC) administrator
Citation KeySouzaCost:2007:NaCoTe
TitleNatural Computing Techniques for Data Clustering and Image Segmentation
FormatOn-line
Year2007
Access Date2024, Dec. 21
Number of Files1
Size45 KiB
2. Context
Author1 Souza, Jackson Gomes de
2 Costa, José Alfredo F.
Affiliation1 Federal University of Rio Grande do Norte - Electrical Engineering Dept.
2 Federal University of Rio Grande do Norte - Electrical Engineering Dept.
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte, MG, Brazil
Date7-10 Oct. 2007
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeTechnical Poster
History (UTC)2008-07-17 14:09:46 :: jgomes@dca.ufrn.br -> administrator ::
2009-08-13 20:38:48 :: administrator -> banon ::
2010-08-28 20:02:33 :: banon -> administrator ::
2022-05-18 22:21:16 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsPattern Recognition
Image Segmentation
Medical Imaging and Visualization
Applications
Natural Computing
Genetic Algorithms
AbstractThis paper presents innovative ways to solve data clustering and image segmentation using Natural computing, a novel approach to solve real life problems inspired in the life. Evolutionary Computing, which is based on the concepts of the evolutionary biology and individual-to-population adaptation, and Swarm Intelligence, which is inspired in the behavior of individuals that, in group, try to achieve better results for a complex optimization problem, are detailed and very experimental results present a comparison between algorithms' implementations.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2007 > Natural Computing Techniques...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/RzAvu
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/RzAvu
Languageen
Target File33919.pdf
User Groupjgomes@dca.ufrn.br
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 28
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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