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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3DEAGL8
Repositorysid.inpe.br/sibgrapi/2013/01.24.14.52
Last Update2013:01.24.14.52.38 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/01.24.14.52.38
Metadata Last Update2022:06.17.04.33.01 (UTC) administrator
ISBN978-85-7669-272-0
Citation KeyTorreãoRoe:1994:MiOpAp
TitleMicrocanonical optimization applied to visual processing: an assessment
FormatImpresso, On-line.
Year1994
Access Date2024, Apr. 24
Number of Files1
Size5284 KiB
2. Context
Author1 Torreão, José Ricardo A.
2 Roe, Edward
Affiliation1 Departamento de Informática da Universidade Federal de Pernambuco (UFPE)
2 Departamento de Informática da Universidade Federal de Pernambuco (UFPE)
EditorFreitas, Carla dal Sasso
Geus, Klaus de
Scheer, Sérgio
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)
Conference LocationCuritiba, PR, Brazil
Date9-11 Nov. 1994
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Volume1
Pages221-228
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-01-24 14:52:38 :: cintiagraziele.silva@gmail.com -> administrator ::
2022-06-17 04:33:01 :: administrator -> cintiagraziele.silva@gmail.com :: 1994
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsvisual processing
microcanonical optimization algorithm
Barnard’s microcanonical
AbstractThe microcanonical optimization algorithm (µO) is an algorithm based on the microcanonical simulation techniques of statistical physics, which has been recently proposed as a suitable alternative to the simulated annealing approaches. The µO algorithm retains all of the positive features of the microcanonical annealing introduced by Barnard (which follows the pioneering work by Creutz), but avoids the necessity of an annealing schedule, thus resulting in improved computational efficiency. Here we present applications of the µO algorithm to some prototypical visual and show that it performs better than the traditional, or canonical, simulated annealing (SA) and then Barnards microcanonical annealing (MA).
TypeMétodos e Técnicas em Processamento Visual
Arrangement 1urlib.net > SDLA > Fonds > Full Index > Microcanonical optimization applied...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 1994 > Sumário > Microcanonical optimization applied...
Arrangement 3urlib.net > SDLA > Fonds > SIBGRAPI 1994 > Sumário > Índice > Microcanonical optimization applied...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3DEAGL8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3DEAGL8
Languageen
Target File29 Microcanonial optimization applied to visual.pdf
User Groupadministrator
cintiagraziele.silva@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPEW34M/4742MCS
8JMKD3MGPBW34M/3DFJRQE
8JMKD3MGPBW34M/3DG53A8
Citing Item Listsid.inpe.br/banon/2001/03.30.15.38.24 1
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 edition electronicmailaddress group issn label lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype
7. Description control
e-Mail (login)cintiagraziele.silva@gmail.com
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