| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZeBBx/GEG3a |
| Repository | sid.inpe.br/banon/2005/07.05.16.47 |
| Last Update | 2005:07.05.03.00.00 (UTC) administrator |
| Metadata Repository | sid.inpe.br/banon/2005/07.05.16.47.10 |
| Metadata Last Update | 2022:06.14.00.12.54 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2005.6 |
| Citation Key | ThomazGill:2005:ApFaRe |
| Title | A maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition  |
| Format | On-line |
| Year | 2005 |
| Access Date | 2024, May 03 |
| Number of Files | 1 |
| Size | 107 KiB |
| 2. Context | |
| Author | 1 Thomaz, Carlos Eduardo 2 Gillies, Duncan Fyfe |
| Affiliation | 1 Centro Universitario da FEI, Sao Paulo, Brazil 2 Imperial College, London, UK |
| Editor | Rodrigues, Maria Andr?ia Formico Frery, Alejandro C?sar |
| e-Mail Address | cet@fei.edu.br |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI) |
| Conference Location | Natal, RN, Brazil |
| Date | 9-12 Oct. 2005 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2008-07-17 14:10:58 :: cet -> banon :: 2008-08-26 15:17:01 :: banon -> administrator :: 2009-08-13 20:37:43 :: administrator -> banon :: 2010-08-28 20:01:17 :: banon -> administrator :: 2022-06-14 00:12:54 :: administrator -> :: 2005 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | LDA maximum uncertainty LDA limited sample size face recognition |
| Abstract | A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recognition applications such as face recognition, there are often a large number of pixels or pre-processed features available, but the total number of training patterns is limited and commonly less than the dimension of the feature space. In this paper, a maximum uncertainty LDA-based method is proposed. It is based on a straightforward stabilisation approach for the within-class scatter matrix. In order to evaluate its effectiveness, experiments on face recognition using the well-known ORL and FERET face databases were carried out and compared with other LDA-based methods. The results indicate that our method improves the LDA classification performance when the within-class scatter matrix is not only singular but also poorly estimated, with or without a Principal Component Analysis intermediate step and using less linear discriminant features. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2005 > A maximum uncertainty... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A maximum uncertainty... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/GEG3a |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/GEG3a |
| Language | en |
| Target File | thomazc_mlda.pdf |
| User Group | cet administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46R3ED5 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.05.04.08 7 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy 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 |