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August 25, 2026
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Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features

P. 553–561.
Lepskiy A.

In the paper we present a new notion of stochastic monotone measure and its application to image processing. By definition, a stochastic monotone measure is a random value with values in the set of monotone measures and it can describe a choice of random features in image processing. In this case, a monotone measure describes uncertainty in the problem of choosing the set of features with the highest in information value and its stochastic behaviour is explained by a noise that can corrupt images.

 

Language: English
Full text
Keywords: выделение особенностейстохастическая мера информативностиstochastic monotone measureimage analysisnoisy image

In book

Synergies of Soft Computing and Statistics for Intelligent Data Analysis
Synergies of Soft Computing and Statistics for Intelligent Data Analysis
Issue 190. , Dordrecht, L., Heidelberg, NY: Springer, 2013.
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