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Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features

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Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 190))

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Abstract

In the paper we define a new notion of stochastic monotone measure. The application of this notion to solution of problem of finding of features on the noisy image is considered.

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References

  1. Bronevich, A., Lepskiy, A.: Geometrical fuzzy measures in image processing and pattern recognition. In: Proc. of the 10th IFSA World Congress, Istanbul, pp. 151–154 (2003)

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Author information

Authors and Affiliations

  1. Higher School of Economics, Moscow, Russia

    Alexander Lepskiy

Authors
  1. Alexander Lepskiy
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Correspondence to Alexander Lepskiy .

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Editors and Affiliations

  1. Faculty of Computer Science, Otto-von-Guericke University of Magdebur, Geb. 29, Raum 008, Universitätsplatz 2, Magdeburg, 39106, Germany

    Rudolf Kruse

  2. , FB Informatik & Informationswissenschaft, University of Konstanz, Konstanz, 78457, Germany

    Michael R. Berthold

  3. of Magdeburg, Faculty of Computer Science, Otto-von-Guericke University, Geb. 29, Universitätsplatz 2 008, Magdeburg, 39106, Germany

    Christian Moewes

  4. , Department of Statistics and OR, University of Oviedo, C/ Calvo Sotelo, s/n, Oviedo, 33007, Spain

    María Ángeles Gil

  5. Systems Research Institute, Polish Academy of Sciences, Newelska 6, Warsaw, 01-447, Poland

    Przemysław Grzegorzewski

  6. Systems Research Institute, Polish Academy of Sciences, Newelska 6, Warsaw, 01-447, Poland

    Olgierd Hryniewicz

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Lepskiy, A. (2013). Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_59

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  • DOI: https://doi.org/10.1007/978-3-642-33042-1_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33041-4

  • Online ISBN: 978-3-642-33042-1

  • eBook Packages: EngineeringEngineering (R0)

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