Separation of recto-verso documents using copula based dependent source separation
ID:100 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:333 Oral Presentation

Start Time:2020-06-08 15:20(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS14Dependent Source Separation

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Abstract
For separating linear instantaneous mixtures of independent/dependent source components, we extend the independent/dependent blind source separation method, proposed by Keziou et al. (2014), to cover the more general case, where the dependency structure of the source components and the related parameter are both unknown. An application is given for separating scanned recto-verso documents.
Keywords
Blind source separation; Copulas; Kullback-Leibler divergence between copula densities
Speaker
Amor Keziou
University of Reims Champagne-Ardenne, Laboratoire de Math閙atiques de Reims (LMR) - CNRS UMR 9008, France

Submission Author
Amor Keziou University of Reims Champagne-Ardenne, Laboratoire de Math閙atiques de Reims (LMR) - CNRS UMR 9008, France
Nezha Mamouni LMR, URCA & LAMAI, UCA, France
Hassan Fenniri Universit?of Reims Champagne-Ardenne, France
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

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