Rozhodovací stromy a jejich aplikace v analýze obrazu
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
The goal of this diploma thesis is the theoretic analysis of two well-known classifiers, Decision Trees and SVM (Support Vector Machines). Next part of this thesis is choosing the suitable features (HOG), their practical use for Decision Trees and SVM and their comparison. For the implementation we have selected the environment of MS Visual Studio, object oriented programming language C++ and OpenCV library.
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Import 03/11/2016
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Image Segmentation, Gradient, Histogram, Histogram of Oriented Gradients, HOG, Decision Tree, Support Vector Machine, SVM, OpenCV, Detection, Machine Learning