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  Correlational Spectral Clustering

Blaschko, M., & Lampert, C. (2008). Correlational Spectral Clustering. In 2008 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-8). Piscataway, NJ, USA: IEEE.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C8F9-4 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0003-4314-B
Genre: Konferenzbeitrag

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externe Referenz:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587353 (Verlagsversion)
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Urheber

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 Urheber:
Blaschko, MB1, 2, Autor           
Lampert, CH1, 2, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Inhalt

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Schlagwörter: -
 Zusammenfassung: We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are
common in real world data sources, such as images with
text captions. Traditional spectral clustering algorithms either
assume that data can be represented by a single similarity
measure, or by co-occurrence matrices that are then
used in biclustering. In contrast, the proposed method uses
separate similarity measures for each data representation,
and allows for projection of previously unseen data that are
only observed in one representation (e.g. images but not
text). We show that this algorithm generalizes traditional
spectral clustering algorithms and show consistent empirical
improvement over spectral clustering on a variety of
datasets of images with associated text.

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Sprache(n):
 Datum: 2008-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1109/CVPR.2008.4587353
BibTex Citekey: 5069
 Art des Abschluß: -

Veranstaltung

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Titel: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008)
Veranstaltungsort: Anchorage, AK, USA
Start-/Enddatum: 2008-06-23 - 2008-06-28

Entscheidung

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Projektinformation

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Quelle 1

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Titel: 2008 IEEE Conference on Computer Vision and Pattern Recognition
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1 - 8 Identifikator: ISBN: 978-1-4244-2243-2