• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Book chapter

Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features

P. 553-561.

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.

 

In book

Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features
Edited by: R. Kruse, M. R. Berthold, C. Moewes et al. Iss. 190. Heidelberg; NY; Dordrecht; L.: Springer, 2013.