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The Appearance of the Giant Component in Descriptor Graphs and Its Application for Descriptor Selection

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Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics (CLEF 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7488))

Abstract

The paper presents a random graph based analysis approach for evaluating descriptors based on pairwise distance distributions on real data. Starting from the Erdős-Rényi model the paper presents results of investigating random geometric graph behaviour in relation with the appearance of the giant component as a basis for choosing descriptors based on their clustering properties. Experimental results prove the existence of the giant component in such graphs, and based on the evaluation of their behaviour the graphs, the corresponding descriptors are compared, and validated in proof-of-concept retrieval tests.

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© 2012 Springer-Verlag Berlin Heidelberg

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Keszler, A., Kovács, L., Szirányi, T. (2012). The Appearance of the Giant Component in Descriptor Graphs and Its Application for Descriptor Selection. In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics. CLEF 2012. Lecture Notes in Computer Science, vol 7488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33247-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-33247-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33246-3

  • Online ISBN: 978-3-642-33247-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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