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Titlebook: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling; Addisson Salazar Book 2013 Springer-Verlag Berlin

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Introduction,e of the different objects that we are related to. The scope of pattern recognition is broad since it is observed at different levels in the world. This awareness occurs for a cell that divides and specializes itself and for an expert standing in front of a painting trying to make a distinction betw
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ICA and ICAMM Methods,ion about the sources is that they are mutually independent. Thus, the goal is blind source estimation; although it has been recently alleviated by incorporating prior knowledge about the sources into the ICA model in the so-called semi-blind source separation. This technique has been widely used in
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Hierarchical Clustering from ICA Mixtures, Clustering techniques have been extensively studied in many different fields for a long time. They can be organized in different ways according to several theoretical criteria. However, a rough widely accepted classification of these techniques is: hierarchical and partitional clustering; see for i
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Application of ICAMM to Impact-Echo Testing,not time-consuming and is easy to employ in the production line. This is the case of the so-called impact-echo method, which is simply based on making an impact in the material being analyzed. Nevertheless, the impact-echo method is essentially limited to obtaining information about the general stat
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Introduction,is awareness occurs for a cell that divides and specializes itself and for an expert standing in front of a painting trying to make a distinction between the pure object and the pure subject of that object.
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ICA and ICAMM Methods,corporating prior knowledge about the sources into the ICA model in the so-called semi-blind source separation. This technique has been widely used in many fields of application such as telecommunications, bioengineering, and material testing.
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Book 2013 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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