On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling (Springer Theses, Band 4) - Softcover

Salazar, Addisson

 
9783642428753: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling (Springer Theses, Band 4)
Softcover
ISBN 10: 3642428754 ISBN 13: 9783642428753
Verlag: Springer, 2014

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3642428754
ISBN 13 
9783642428753
Einband
Taschenbuch
Anzahl der Seiten
208
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Vorgestellte Ausgabe

ISBN 10:  3642307515 ISBN 13:  9783642307515
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Hardcover