On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling is popular PDF and ePub book, written by Addisson Salazar in 2012-07-20, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling can be Read Online from any device for your convenience.
On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling Book PDF Summary
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.
Detail Book of On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling PDF
- Author : Addisson Salazar
- Release : 20 July 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642307522
- Genre : Technology & Engineering
- Total Page : 200 pages
- Language : English
- PDF File Size : 20,9 Mb
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