The features of a class are determined during a training process (supervised learning). When analyzing unknown objects, the assignment is made automatically to the class whose feature values exhibit the highest match. This significantly speeds up the creation of new classifiers.
To further enhance efficiency, MVTec has developed the Automatic Feature Selection Tool. This tool automatically selects the optimal feature set to build new classifiers.
