1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45BP6RE |
Repository | sid.inpe.br/sibgrapi/2021/08.30.11.26 |
Last Update | 2021:08.30.20.30.21 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/08.30.11.26.51 |
Metadata Last Update | 2022:06.14.00.00.17 (UTC) administrator |
DOI | 10.1109/SIBGRAPI54419.2021.00049 |
Citation Key | LevadaHadd:2021:EnLaEi |
Title | Entropic Laplacian eigenmaps for unsupervised metric learning  |
Format | On-line |
Year | 2021 |
Access Date | 2025, Feb. 12 |
Number of Files | 1 |
Size | 293 KiB |
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2. Context | |
Author | 1 Levada, Alexandre L. M. 2 Haddad, Michel F. C. |
Affiliation | 1 Computing Department, Federal University of São Carlos, Brazil 2 Department of Land Economy, University of Cambridge and School of Business and Management, Queen Mary University of London, United Kingdom |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | alexandre.levada@ufscar.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2021-08-30 20:30:21 :: alexandre.levada@ufscar.br -> administrator :: 2021 2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021 2022-03-02 13:30:11 :: menottid@gmail.com -> administrator :: 2021 2022-06-14 00:00:17 :: administrator -> :: 2021 |
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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 | Unsupervised metric learning dimensionality reduction Laplacian Eigenmaps KL-divergence manifold learning |
Abstract | Unsupervised metric learning is concerned with building adaptive distance functions prior to pattern classification. Laplacian eigenmaps consists of a manifold learning algorithm which uses dimensionality reduction to find more compact and meaningful representations of datasets through the Laplacian matrix of graphs. In the present paper, we propose the entropic Laplacian eigenmaps (ELAP) algorithm, a parametric approach that employs the KullbackLeibler (KL-) divergence between patches of the KNN graph instead of the pointwise Euclidean metric as the cost function for the graph weights. Our objective with such a modification is increasing the robustness of Laplacian eigenmaps against noise and outliers. Our results using various real-world datasets indicate that the proposed method is capable of generating more reasonable clusters while reporting greater classification accuracies compared to existing widely adopted methods for dimensionality reduction-based metric learning. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > Entropic Laplacian eigenmaps... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Entropic Laplacian eigenmaps... |
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/8JMKD3MGPEW34M/45BP6RE |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45BP6RE |
Language | en |
Target File | example.pdf |
User Group | alexandre.levada@ufscar.br |
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 | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 81 sid.inpe.br/sibgrapi/2022/06.10.21.49 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 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 volume |
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