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Herausgeber: 
  • Emmanuel Vincent
  • Arie Yeredor
  • Petr Tichavský
  • Zbyn¿k Koldovský
  • Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2015  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Automated Pattern Recognition / C / Computer modelling & simulation / computer science / Computer science—Mathematics / Computer simulation / Computer Vision / Discrete Mathematics / Discrete Mathematics in Computer Science / Expert systems / knowledge-based systems / Image processing / Image Processing and Computer Vision / Maths for computer scientists / Optical data processing / pattern recognition / Simulation and Modeling / Special Purpose and Application-Based Systems / Special purpose computers / Theory of Computation
    ISBN:  9783319224817 
    EAN-Code: 
    9783319224817 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #9237 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H 235 mm / B 155 mm / D 30 mm 
    Gewicht:  820 gr 
    Seiten:  548 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented ¿ 29 accepted as oral presentations and 32 accepted as poster presentations ¿ were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.

      



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