On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling: 4 (Springer Theses, 4) - Tapa dura

Salazar, Addisson

 
9783642307515: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling: 4 (Springer Theses, 4)
Tapa dura
ISBN 10: 3642307515 ISBN 13: 9783642307515
Editorial: Springer, 2012

Sinopsis

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 successful techniques for non-linear processing of data with complex non-Gaussian distributions is the independent component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which unifies a certain number of pattern recognition tasks allowing generalization. The versatile and powerful framework developed in this work can deal with data obtained from quite different areas, such as image processing, impact-echo testing, cultural heritage, hypnograms analysis, web-mining and might therefore be employed to solve many different real-world problems.

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De la contraportada

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 successful techniques for non-linear processing of data with complex non-Gaussian distributions is the independent component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which unifies a certain number of pattern recognition tasks allowing generalization. The versatile and powerful framework developed in this work can deal with data obtained from quite different areas, such as image processing, impact-echo testing, cultural heritage, hypnograms analysis, web-mining and might therefore be employed to solve many different real-world problems.

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Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3642307515
ISBN 13 
9783642307515
Encuadernación
Tapa dura
Número de páginas
208
Contacto del fabricante
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Darmstadt
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Alemania

Otras ediciones populares con el mismo título

9783642428753: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling: 4 (Springer Theses)

Edición Destacada

ISBN 10:  3642428754 ISBN 13:  9783642428753
Editorial: Springer, 2014
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