Supervised Classification of Thermal High-Resolution Infrared Images
Graziano Aretusi
Broschiertes Buch

Supervised Classification of Thermal High-Resolution Infrared Images

A case study for the diagnosis of Raynaud's Phenomenon

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In many classification problems, relevant features are unknown a priori. Therefore, many candidate features are introduced to represent the phenomenon. Unfortunately, it is often true that most of these are either partially or completely redundant to the target. Thus, when the size of the dataset is large, an important primary step in the classification task is to remove the unwanted features. In this framework, this study proposes a new subset selection algorithm, called JSS+E (Jackknifed Stepwise Selection with Exhaustive search), in order to improve the stepwise selection procedure. The pro...