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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 - Pasta blanda

2014, ISBN: 3642428754

[EAN: 9783642428753], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CLASSIFICATIONOFARCHAEOLOGICALCERAMICS; IMAGEPROCESSING; IMPACT-ECHOMEASUREMENTS; INDEPENDENTCOMPONENTANALYSIS(… Más…

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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 - Pasta blanda

ISBN: 9783642428753

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 sp… Más…

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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 - Pasta blanda

2014

ISBN: 9783642428753

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 sp… Más…

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Salazar, Addisson
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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - libro nuevo

2014, ISBN: 3642428754

2013 Kartoniert / Broschiert Bilderfassungssysteme und -technologie, Mustererkennung, Digitale Signalverarbeitung (DSP), ClassificationofArchaeologicalCeramics; imageprocessing; Impact-… Más…

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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 - Pasta blanda

ISBN: 9783642428753

Paperback, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG], The versatile and powerful framework developed in this work can deal with data obtained from quite different areas, s… Más…

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Detalles del libro
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling
Autor:
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ISBN:

9783642428753


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.

Detalles del libro - On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling


EAN (ISBN-13): 9783642428753
ISBN (ISBN-10): 3642428754
Tapa dura
Tapa blanda
Año de publicación: 2014
Editorial: Springer Berlin

Libro en la base de datos desde 2014-10-10T01:32:24-05:00 (Mexico City)
Página de detalles modificada por última vez el 2022-11-30T10:29:59-06:00 (Mexico City)
ISBN/EAN: 9783642428753

ISBN - escritura alterna:
3-642-42875-4, 978-3-642-42875-3
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Autor del libro: addiss, salazar
Título del libro: statistica, com mix, statistical pattern recognition independent component analysis mixture modelling

Datos del la editorial

Autor: Addisson Salazar
Título: Springer Theses; On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling
Editorial: Springer; Springer Berlin
186 Páginas
Año de publicación: 2014-08-09
Berlin; Heidelberg; DE
Impreso en
Peso: 3,226 kg
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXII, 186 p.

BC; Signal, Image and Speech Processing; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; 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; complexity; Pattern Recognition; Complexity; Signal, Speech and Image Processing; Automated Pattern Recognition; Applied Dynamical Systems; Digitale Signalverarbeitung (DSP); Mustererkennung; Mathematik für Ingenieure; Kybernetik und Systemtheorie; BB

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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