On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

• Κύριος συγγραφέας: Salazar, Addisson (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research, 4
• Θέματα: Engineering.; Pattern recognition.; Complexity, Computational.; Signal, Image and Speech Processing.; Pattern Recognition.; Complexity.

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...

Πίνακας περιεχομένων:

• 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.