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  • Book
  • © 2013

On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

Authors:

  1. Addisson Salazar

    1. Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain

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  • Nominated as an outstanding PhD theses by the Polytechnic University of Valencia
  • Present an excellent state-of-the-art literature review of the main applied theoretical foundations of statistical pattern recognition
  • Gives new insights into independent component analysis (ICA) and independent component analysis mixture modelling (ICAMM) research in the context of statistical pattern recognition
  • Defines a novel general framework in statistical pattern recognition based on independent component analysis mixture modeling
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses, volume 4)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xxii
    PDF

  2. Introduction

    • Addisson Salazar
    Pages 1-28

  3. ICA and ICAMM Methods

    • Addisson Salazar
    Pages 29-55

  5. Hierarchical Clustering from ICA Mixtures

    • Addisson Salazar
    Pages 83-103

  6. Application of ICAMM to Impact-Echo Testing

    • Addisson Salazar
    Pages 105-128

  9. Conclusions

    • Addisson Salazar
    Pages 173-180

  10. Back Matter

    Pages 181-185
    PDF
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About this book

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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Keywords

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Authors and Affiliations

  • Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain

    Addisson Salazar

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Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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