On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been exploiting higher-order information. Thus, high-order spectral analysis and nonlinear adaptive filtering have received the attention of many researchers. One of the most...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Salazar, Addisson (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research, 4
Temas:
Signal processing.
Pattern recognition systems.
Dynamics.
Nonlinear theories.
Signal, Speech and Image Processing .
Automated Pattern Recognition.
Applied Dynamical Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • ICA and ICAMM Methods
  • Learning Mixtures of Independent Component Analysers
  • Hierarchical Clustering from ICA Mixtures
  • Application of ICAMM to Impact-Echo Testing
  • Cultural Heritage Applications: Archaeological Ceramics and Building Restoration
  • Other Applications: Sequential Dependence Modelling and Data Mining
  • Conclusions.

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