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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Úvod do statistického rozpoznávání
 Pudil, Pavel ; Somol, Petr ; Haindl, Michal
Pattern recognition problem is briefly characterized as a process of machine learning. Its main stages (dimensionality reduction and classifier design) are stated. Statistical approach is given priority here. Two approaches to dimensionality reduction, namely feature selection (FS) and feature extraction (FE) are specified. Though FS is a special case of FE, they are very different from a practical viewpoint and thus must be considered separately.
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Rozpoznávání založené na vícerozměrných modelech
 Haindl, Michal ; Pudil, Pavel ; Somol, Petr
This chapter explains general model-based approaches to several basic pattern recognition applications followed by a concise description of three fundamental multi-dimensional data model classes. For each model class a solution to parameter estimation and model data synthesis is outlined. Finally an overview of the strengths and weaknesses of studied multi-dimensional data model groups is given.
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