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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3CA2238
Repositorysid.inpe.br/sibgrapi/2012/07.15.23.52
Last Update2012:07.15.23.52.54 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.15.23.52.54
Metadata Last Update2022:06.14.00.07.36 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.42
Citation KeyFariaSantRochTorr:2012:AuClFu
TitleAutomatic Classifier Fusion for Produce Recognition
FormatDVD, On-line.
Year2012
Access Date2024, Apr. 29
Number of Files1
Size1106 KiB
2. Context
Author1 Faria, Fabio Augusto
2 Santos, Jefersson Alex dos
3 Rocha, Anderson
4 Torres, Ricardo da Silva
Affiliation1 University of Campinas 
2 University of Campinas 
3 University of Campinas 
4 University of Campinas
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressffaria@ic.unicamp.br
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 :: ffaria@ic.unicamp.br -> administrator :: 2012
2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 12:53:33 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:36 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsRecognition
Ensemble of Classifiers
Diversity Measures
AbstractRecognizing different kinds of fruits and vegetables is a common task in supermarkets. This task, however, poses several challenges as it requires the identification of different species of a particular produce and also its variety. Usually, existing computer-based recognition approaches are not automatic and demand long-term and laborious prior training sessions. This paper presents a novel framework for classifier fusion aiming at supporting the automatic recognition of fruits and vegetables in a supermarket environment. The objective is to provide an effective mechanism for combining low-cost classifiers trained for specific classes of interest. The experiments performed demonstrate that the proposed framework yields better results than several related work found in the literature and represents a step forward automatic produce recognition in cashiers of supermarkets.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Automatic Classifier Fusion...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Automatic Classifier Fusion...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 15/07/2012 20:52 0.7 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3CA2238
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3CA2238
Languageen
Target File2012-sibgrapi-ffaria-vs-03.pdf
User Groupffaria@ic.unicamp.br
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 5
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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