1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/wihRn |
Repository | sid.inpe.br/banon/2002/11.28.12.18 |
Last Update | 2002:11.14.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.28.12.19 |
Metadata Last Update | 2022:06.14.00.12.18 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2001.963037 |
Citation Key | RJuar:2001:OnLeSu |
Title | Ongoing learning for supervised pattern recognition |
Year | 2001 |
Access Date | 2024, Oct. 15 |
Number of Files | 1 |
Size | 567 KiB |
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2. Context | |
Author | 1 R., Barandela. 2 Juarez, M. |
Editor | Borges, Leandro Díbio Wu, Shin-Ting |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI) |
Conference Location | Florianópolis, SC, Brazil |
Date | 15-18 Oct. 2001 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 51-58 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:52 :: administrator -> banon :: 2008-08-26 15:22:02 :: banon -> administrator :: 2009-08-13 20:37:06 :: administrator -> banon :: 2010-08-28 20:00:12 :: banon -> administrator :: 2022-06-14 00:12:18 :: administrator -> :: 2001 |
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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 | anytime supervised learning training sample correction reject option nearest neighbor rule |
Abstract | This paper presents a procedure to implement an automatic system for supervised pattern recognition with an ongoing learning capability. The purpose is to continuously increase the knowledge of the system and, accordingly, to enhance its performance in classification tasks.The Nearest Neighbor rule is employed as the central classifier and several techniques are added to cope with the increase in computational load and with the peril of incorporating noisy data to the training sample. Experimental results confirm the improvement in classification accuracy. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Ongoing learning for... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Ongoing learning for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/wihRn |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/wihRn |
Language | en |
Target File | 51-58.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46Q6TJ5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.29.19.35 37 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Florianópolis, SC, Brazil, from October 15 to 18. |
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