The Optimization of Decision Rules in Multimodal Decision-Level Fusion Scheme

This paper introduces an original method of
parametric optimization of the structure for multimodal decisionlevel
fusion scheme which combines the results of the partial solution
of the classification task obtained from assembly of the mono-modal
classifiers. As a result, a multimodal fusion classifier which has the
minimum value of the total error rate has been obtained.

• Andrey V. Timofeev
• Dmitry V. Egorov

• Сlassification accuracy
• fusion solution
• total error rate.

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