1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3PJ5RDH |
Repository | sid.inpe.br/sibgrapi/2017/09.04.21.52 |
Last Update | 2017:09.04.21.52.38 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2017/09.04.21.52.38 |
Metadata Last Update | 2022:05.18.22.18.24 (UTC) administrator |
Citation Key | BarbosaNona:2017:PrSt |
Title | Visualization, kernels and subspaces: a practical study |
Format | On-line |
Year | 2017 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 602 KiB |
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2. Context | |
Author | 1 Barbosa, Adriano Oliveira 2 Nonato, Luis Gustavo |
Affiliation | 1 ICMC-USP/FACET-UFGD 2 ICMC-USP |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | barbosa.aob@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ, Brazil |
Date | 17-20 Oct. 2017 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Master's or Doctoral Work |
History (UTC) | 2017-09-04 21:52:38 :: barbosa.aob@gmail.com -> administrator :: 2022-05-18 22:18:24 :: administrator -> :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | kernel methods subspace clustering multidimensional projection visualization |
Abstract | Data involved in real applications are usually spread around in distinct subspaces which may have different dimensions. We would like to study how the subspace structure information can be used to improve visualization tasks. On the other hand, what if the data is tangled in this high-dimensional space, how to visualize its patterns or how to accomplish classification tasks? This paper presents an study for both problems pointed out above. For the former, we use subspace clustering techniques to define, when it exists, a subspace structure, studying how this information can be used to support visualization tasks based on multidimensional projections. For the latter problem we employ kernel methods, well known in the literature, as a tool to assist visualization tasks. We use a similarity measure given by the kernel to develop a completely new multidimensional projection technique capable of dealing with data embedded in the implicit feature space defined by the kernel. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Visualization, kernels and... |
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/8JMKD3MGPAW/3PJ5RDH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PJ5RDH |
Language | en |
Target File | compressed.pdf |
User Group | barbosa.aob@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PKCC58 |
Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 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 doi 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 |
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