Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/CTFwD
Repositorysid.inpe.br/banon/2004/07.27.18.50
Last Update2004:07.27.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/07.27.18.50.02
Metadata Last Update2022:06.14.00.12.36 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352957
Citation KeyMartinsJrCesaBarr:2004:WoWiDe
TitleW-operator window design by maximization of training data information
FormatOn-line
Year2004
Access Date2024, Apr. 29
Number of Files1
Size473 KiB
2. Context
Author1 Martins Junior, David Correa
2 Cesar Junior, Roberto Marcondes
3 Barrera, Junior
Affiliation1 Instituto de Matemática e Estatística - Universidade de São Paulo
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressdavidjr@vision.ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:56 :: davidjr -> banon ::
2008-08-26 15:15:42 :: banon -> administrator ::
2009-08-13 20:37:26 :: administrator -> banon ::
2010-08-28 20:01:13 :: banon -> administrator ::
2022-06-14 00:12:36 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsw-operator
feature selection
mean conditional entropy
AbstractThis paper presents a technique that gives a minimal window W for the estimation of a W-operator from training data. The idea is to choose a subset of variables W that maximizes the information observed in a set of training data. The task is formalized as a combinatorial optimization problem, where the search space is the powerset set of the candidate variables and the measure to be minimized is the mean entropy of the estimated conditional probabilities. As a full exploration of the search space requires an enormous computational effort, some heuristics of the feature selection literature are applied. The proposed technique is mathematically sound and experimental results show that it is adequate in practice.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > W-operator window design...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > W-operator window design...
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/6qtX3pFwXQZeBBx/CTFwD
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/CTFwD
Languageen
Target File4412_Martins_D.pdf
User Groupdavidjr
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
sid.inpe.br/sibgrapi/2022/06.10.21.49 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 edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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 volume


Close