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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Addisson Salazar
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2014, ISBN: 9783642428753

ID: 214319569

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. {´´p´´:´´This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM).´´} Bücher > Fremdsprachige Bücher > Englische Bücher > Kinder- & Jugendbücher > Bilderbücher Taschenbuch 09.08.2014 Buch (fremdspr.), Springer, .201

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Addisson Salazar
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Addisson Salazar:
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - neues Buch

ISBN: 9783642428753

ID: 666901451

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. This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM). Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher>Kinder- & Jugendbücher>Bilderbücher, Springer

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Addisson Salazar
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Addisson Salazar:
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Taschenbuch

ISBN: 9783642428753

ID: 9783642428753

Engineering; Signal, Image and Speech Processing; Pattern Recognition; Complexity Classification of Archaeological Ceramics, Image Processing, Impact-echo Measurements, Independent Component Analysis (ICA), Independent Component Analysis Mixture, Machine Learning, Modelling (ICAMM), Non-parametric Density Estimation, PhD Thesis, Semi-supervised Learning, Statistical Pattern Recognition Books Book (Paperback Initiative), Springer Science+Business Media

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This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM). Versandkosten:zzgl. Versandkosten
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Addisson Salazar:
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - gebunden oder broschiert

2013, ISBN: 9783642428753

ID: 323651320

On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling:2013. Auflage Addisson Salazar On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling:2013. Auflage Addisson Salazar Bücher > Wissenschaft > Technik, Springer

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Addisson Salazar
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Addisson Salazar:
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Taschenbuch

2014, ISBN: 9783642428753

ID: 30495087

2013, Softcover, Buch, [PU: Springer Berlin]

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