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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9U2C8
Repositorysid.inpe.br/sibgrapi/2012/07.15.18.28
Last Update2012:07.15.18.28.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.15.18.28.39
Metadata Last Update2022:06.14.00.07.34 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.52
Citation KeyMansanoMaAfPaFaTo:2012:ImImCl
TitleImproving Image Classification Through Descriptor Combination
FormatDVD, On-line.
Year2012
Access Date2024, Apr. 28
Number of Files1
Size216 KiB
2. Context
Author1 Mansano, Alex Fernandes
2 Matsuoka, Jessica Akemi
3 Afonso, Luis Claudio Sugi
4 Papa, Joao Paulo
5 Faria, Fabio
6 Torres, Ricardo da Silva
Affiliation1 UNESP - Univ Estadual Paulista 
2 UNESP - Univ Estadual Paulista 
3 UNESP - Univ Estadual Paulista 
4 UNESP - Univ Estadual Paulista 
5 University of Campinas 
6 University of Campinas
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addresspapa.joaopaulo@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: papa.joaopaulo@gmail.com -> administrator :: 2012
2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 13:00:34 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:34 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsImage classification
Evolutionary algorithms
Descriptor Combination
AbstractThe efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different feature vectors, we model the descriptor combination as an optimization problem to be addressed by evolutionary-based techniques, which compute distances between samples that maximize their separability in the feature space. The robustness of the proposed technique is assessed by the Optimum-Path Forest classifier. Experiments showed that the proposed methodology can outperform individual information provided by single descriptors in well-known public datasets.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Improving Image Classification...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Improving Image Classification...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 15/07/2012 15:28 0.7 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3C9U2C8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9U2C8
Languageen
Target Fileopf-sibgrapi12-versao-final.pdf
User Grouppapa.joaopaulo@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 4
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 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


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