| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZeBBx/GJPfJ |
| Repository | sid.inpe.br/banon/2005/07.12.19.51 |
| Last Update | 2005:07.13.03.00.00 (UTC) administrator |
| Metadata Repository | sid.inpe.br/banon/2005/07.12.19.51.36 |
| Metadata Last Update | 2022:06.14.00.12.58 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2005.25 |
| Citation Key | NeryCaPáQuMaCa:2005:DeApFe |
| Title | Determining the appropriate feature set for fish classification tasks  |
| Format | On-line |
| Year | 2005 |
| Access Date | 2025, July 03 |
| Number of Files | 1 |
| Size | 255 KiB |
| 2. Context | |
| Author | 1 Nery, Marcelo Souza 2 Campos, Mario Fernando Montenegro 3 Pádua, Flávio Luis Cardeal 4 Queiroz Neto, José Pinheiro de 5 Machado, Alexei Manso Correa 6 Carceroni, Rodrigo Lima |
| Affiliation | 1 Departamento de Ciência da Computação - Universidade Federal de Minas Gerais 2 Pontifícia Universidade Católica de Minas Gerais 3 Centro Federal de Educação Tecnológica do Amazonas |
| Editor | Rodrigues, Maria Andréia Formico Frery, Alejandro César |
| e-Mail Address | cardeal@dcc.ufmg.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 14:11:00 :: cardeal -> banon :: 2008-08-26 15:17:02 :: banon -> administrator :: 2009-08-13 20:37:48 :: administrator -> banon :: 2010-08-28 20:01:18 :: banon -> administrator :: 2022-06-14 00:12:58 :: administrator -> :: 2005 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | object classification feature extraction feature selection fish classification |
| Abstract | We present a novel fish classification methodology based on a robust feature selection technique. Unlike existing works for fish classification, which propose descriptors and do not analyze their individual impacts in the whole classification task, we propose a general set of features and their correspondent weights that should be used as a priori information by the classifier. In this sense, instead of studying techniques for improving the classifiers structure itself, we consider it as a "black box" and focus our research in the determination of which input information must bring a robust fish discrimination. All the experiments were performed with fish species of Rio Grande river in Minas Gerais, Brazil. This work has been developed as part of a wider research, which has as main goal the development of effective fish ladders for the Brazilian dams. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Determining the appropriate... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Determining the appropriate... |
| 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/GJPfJ |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/GJPfJ |
| Language | en |
| Target File | paduaf_fishclassification.pdf |
| User Group | cardeal 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 45 sid.inpe.br/sibgrapi/2022/06.10.21.49 4 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 |