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  Correlational Spectral Clustering

Blaschko, M., & Lampert, C. (2008). Correlational Spectral Clustering. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 1-8.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C8F9-4 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C8FA-2
Genre: Konferenzbeitrag

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 Urheber:
Blaschko, MB1, Autor           
Lampert, CH1, 2, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Dept. Empirical Inference, Max Planck Institute for Intelligent System, Max Planck Society, ou_1497647              

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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: URI: http://vision.eecs.ucf.edu/
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
Veranstaltungsort: Anchorage, AK, USA
Start-/Enddatum: -

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Titel: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008)
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos, CA, USA : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1 - 8 Identifikator: -