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Reference TypeConference Paper (Conference Proceedings)
Last Update2013: (UTC) administrator
Metadata Last Update2013: (UTC) administrator
Citation KeyTorreãoRoe:1994:MiOpAp
TitleMicrocanonical optimization applied to visual processing: an assessment
FormatImpresso, On-line.
Access Date2021, Nov. 28
Number of Files1
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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
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)
Conference LocationCuritiba
Date9 - 11 nov. 1994
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-01-24 14:52:38 :: -> administrator ::
2013-02-02 13:16:07 :: administrator -> :: 1994
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Is the master or a copy?is the master
Content Stagecompleted
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
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