| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/Rv2tk |
| Repository | sid.inpe.br/sibgrapi@80/2007/09.18.20.44 |
| Last Update | 2007:09.18.20.44.29 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2007/09.18.20.44.30 |
| Metadata Last Update | 2022:05.18.22.21.14 (UTC) administrator |
| Citation Key | FreitasAvilPapa:2007:SeSuVe |
| Title | Semi-Supervised Support Vector Rainfall Estimation Using Satellite Images  |
| Format | On-line |
| Year | 2007 |
| Access Date | 2024, Oct. 08 |
| Number of Files | 1 |
| Size | 45 KiB |
| 2. Context | |
| Author | 1 Freitas, Greice Martins de 2 Avila, Ana Maria Heuminski de 3 Papa, Joao Paulo |
| Affiliation | 1 CEPAGRI/UNICAMP 2 CEPAGRI/UNICAMP 3 IC/UNICAMP |
| Editor | Gonçalves, Luiz Wu, Shin Ting |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
| Conference Location | Belo Horizonte, MG, Brazil |
| Date | 7-10 Oct. 2007 |
| Publisher | Sociedade Brasileira de Computação |
| Publisher City | Porto Alegre |
| Book Title | Proceedings |
| Tertiary Type | Technical Poster |
| History (UTC) | 2008-07-17 14:09:44 :: jpaulo@ic.unicamp.br -> administrator :: 2009-08-13 20:38:34 :: administrator -> banon :: 2010-08-28 20:02:30 :: banon -> administrator :: 2022-05-18 22:21:14 :: administrator -> :: 2007 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Keywords | rainfall estimation semi-supervised support vector machines |
| Abstract | In this paper we introduce the use of semi-supervised support vector machines for rainfall estimation using images obtained from visible and infrared NOAA satellite channels. Two experiments were performed, one involving traditional SVM and other using semi-supervised SVM (S3VM). The S3VM approach outperforms SVM in our experiments, with can be seen as a good methodology for rainfall satellite estimation, due to the large amount of unlabeled data. . |
| Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Semi-Supervised Support Vector... |
| 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/6qtX3pFwXQZG2LgkFdY/Rv2tk |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/Rv2tk |
| Language | en |
| Target File | freitas.pdf |
| User Group | jpaulo@ic.unicamp.br administrator |
| Visibility | shown |
| 5. Allied materials | |
| Mirror Repository | sid.inpe.br/sibgrapi@80/2007/08.02.16.22 |
| Next Higher Units | 8JMKD3MGPEW34M/46SF8Q5 |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.00.14 20 |
| 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 doi e-mailaddress 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 versiontype volume |