1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/39TRMQ5 |
Repository | sid.inpe.br/sibgrapi/2011/06.23.17.47 |
Last Update | 2011:06.23.17.47.44 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2011/06.23.17.47.44 |
Metadata Last Update | 2022:06.14.00.07.06 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2011.35 |
Citation Key | SilvaCupeZhao:2011:StCoLe |
Title | Stochastic Competitive Learning Applied to Handwritten Digit and Letter Clustering |
Format | DVD, On-line. |
Year | 2011 |
Access Date | 2024, Sep. 20 |
Number of Files | 1 |
Size | 589 KiB |
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2. Context | |
Author | 1 Silva, Thiago Christiano 2 Cupertino, Thiago Henrique 3 Zhao, Liang |
Affiliation | 1 Department of Computer Sciences, Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP) 2 Department of Computer Sciences, Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP) 3 Department of Computer Sciences, Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP) |
Editor | Lewiner, Thomas Torres, Ricardo |
e-Mail Address | thiagoch@icmc.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 24 (SIBGRAPI) |
Conference Location | Maceió, AL, Brazil |
Date | 28-31 Aug. 2011 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2011-07-23 15:36:12 :: thiagoch@icmc.usp.br -> administrator :: 2011 2022-06-14 00:07:06 :: administrator -> :: 2011 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | stochastic competitive learning handwritten pattern clustering |
Abstract | Competitive learning is an important mechanism for data clustering and pattern recognition. In this paper, we present a rigorous definition of a new type of competitive learning scheme realized on large scale networks. In this model, several particles walk in the network and compete with each other to occupy as many nodes as possible, while attempting to reject intruder particles. As a result, each particle will dominate a cluster of the network. Moreover, we propose an efficient method for determining the right number of clusters by using the information generated by the competition process itself, avoiding the calculation of an external evaluating index. In this work, we apply the model to handwritten data clustering. Computer simulations reveal that the proposed technique obtains satisfactory cluster detection accuracy. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Stochastic Competitive Learning... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Stochastic Competitive Learning... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/39TRMQ5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/39TRMQ5 |
Language | en |
Target File | SIBGRAPI2011_ParticleCompetition.pdf |
User Group | thiagoch@icmc.usp.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SKNPE 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.00.56 12 sid.inpe.br/sibgrapi/2022/06.10.21.49 5 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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